WO2004051987A1 - 撮像装置 - Google Patents
撮像装置 Download PDFInfo
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- WO2004051987A1 WO2004051987A1 PCT/JP2003/015423 JP0315423W WO2004051987A1 WO 2004051987 A1 WO2004051987 A1 WO 2004051987A1 JP 0315423 W JP0315423 W JP 0315423W WO 2004051987 A1 WO2004051987 A1 WO 2004051987A1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/40—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled
- H04N25/44—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled by partially reading an SSIS array
- H04N25/445—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled by partially reading an SSIS array by skipping some contiguous pixels within the read portion of the array
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
- H04N23/12—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths with one sensor only
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/10—Circuitry of solid-state image sensors [SSIS]; Control thereof for transforming different wavelengths into image signals
- H04N25/11—Arrangement of colour filter arrays [CFA]; Filter mosaics
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/40—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled
- H04N25/44—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled by partially reading an SSIS array
- H04N25/447—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled by partially reading an SSIS array by preserving the colour pattern with or without loss of information
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/40—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled
- H04N25/46—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled by combining or binning pixels
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
- H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
- H04N25/61—Noise processing, e.g. detecting, correcting, reducing or removing noise the noise originating only from the lens unit, e.g. flare, shading, vignetting or "cos4"
- H04N25/611—Correction of chromatic aberration
Definitions
- the present invention relates to a digital imaging device, and more particularly to a digital imaging device that generates an image having a smaller number of pixels than the number of pixels of an imaging device mounted on the imaging device at high speed and with high image quality.
- the number of pixels of the image sensor is important in determining the resolution of a captured image. For this reason, some child still cameras with a large number of pixels of more than 500,000 pixels have been commercialized. However, for all 3 ⁇ 5 ( ⁇ _ do, it is not always necessary to have 500,000 pixels, but on the contrary, the image displayed on the web of the Internet is rather a pixel. In many cases, the smaller one is used.
- the number of pixels of the output image is smaller than the number of pixels of the image sensor, the number of pixels to be used is limited in advance to reduce the number of data transferred from the image sensor to the memory. Memory One transfer speed can be improved.
- Figure 15 shows how to generate a reduced image in rehable color by sampling bilinear interpolation from the Bayer array.
- the final color data at point ABCD is calculated from the RGB data of the nearby 12 points. Specifically, at point A, the full power
- Figure 16 shows a method of generating a full-color reduced image from a Bayer array by sampling with bicubic interpolation.o
- full power It is obtained from the RGB data of 48 points near the point.
- the full color data at point B is R 61 R 63 R 65 R 67
- the official gazette of 141 discloses a high-speed image reduction method using this method.
- Japanese Patent Application Laid-Open No. 2000-01016441 discloses a device for thinning out data in a limited resolution type! 3 ⁇ 4! ⁇ * and further correcting data distortion. Is disclosed. This document describes that, in the embodiment, a device having a resolution of 600 dp ⁇
- the method disclosed in Japanese Patent Application Laid-Open No. 2001-245510 is effective in reducing a reduction rate of about 20% or less, but it is effective for a large reduction rate (about 40% or more).
- averaging by integration alone does not eliminate image distortion due to pixel positions protruding 57 degrees. do not come. Therefore, it is difficult to form a high-quality image while changing the size for a wide range of reduction ratios.
- the data corresponding to 400 dpi is created by performing interpolation using all of the 600 dpi data obtained by scanning.
- the data of y basic resolution Japanese Patent Laid-Open No.
- the imaging device of the present invention has an imaging device.
- the imaging device includes a photoelectric conversion element that photoelectrically converts an optical image to obtain image data, and a readout control unit that reads out the image data obtained by the light conversion element by thinning out pixels as necessary.
- the imaging apparatus further includes: an area setting unit that sets an area of an output image of the imaging device; and a reading rule selection unit that selects a pixel thinning-out reading rule of a reading control unit according to the area set by the area setting unit.
- a distortion correction unit that corrects the distortion of the photoelectric conversion element and the image by the extraction control unit.
- the distortion correction section has a filter processing section for filtering the image data read out from the photoelectric conversion element based on the pixel reading-out rule selected by the reading-out rule selection section.
- FIG. 1 shows the configuration of the imaging device according to the first embodiment of the present invention.
- FIG. 2 shows an example in which a vertical conversion of 14/16 is performed on an image of the RGZGB Bayer array.
- FIG. 3 shows a state in which the data of the eighth pixel and the data of the ninth pixel from the top of the 16 pixels before the conversion are omitted in the conversion shown in FIG.
- FIG. 4 shows an example in which two pixels out of 16 pixels are thinned out and read out in both the horizontal and vertical directions.
- FIG. 5 shows how distortion correction is performed on the vertical data in the first column on the left in the pixel data that is decimated and read according to the example of FIG.
- FIG. 6 shows a configuration of a filter processing unit for a photoelectric conversion element composed of a single-chip color imaging element.
- FIG. 7 shows the configuration of a filter processing unit for a photoelectric conversion element composed of a monochromatic monochromatic image sensor or a multi-plate color image sensor.
- Figure 8 shows the flow of the distortion correction process.
- FIG. 9 shows an example in which two pixels out of eight pixels are thinned out and read out in both the horizontal and vertical directions.
- FIG. 10 shows the configuration of the imaging device according to the second embodiment of the present invention.
- Fig. 11 shows that the read start position of the read range is photoelectric conversion in reading by repeating 6/8 thinning-out reading.
- the read range of the frame that matches the upper left pixel of the pixel array shown in FIG.
- Fig. 12 shows that the I-jump by the repetition 1 of the 6Z8 thinning-out readout is fc 3 ⁇ 4 and the 5jj ui, and the read end position of the range matches the lower right pixel of the pixel array of the photoelectric conversion element. This indicates the range of frames that are read.
- Fig. 13 shows a moving image obtained by performing averaging processing between consecutive frames after performing thinning-out reading of 2 pixels out of 14 pixels (6/7 size change).
- Figure 14 shows the average between successive frames after performing thinning-out reading of 2 pixels out of 14 pixels (changing the size of 6Z7) and performing distortion correction (pixel-to-pixel interpolation). This shows a moving image obtained by performing the conversion process.
- Figure 15 shows how to generate a full-color reduced image from a bi-linear interpolation sampling from a Payer array.
- Figure 16 shows a full-color reduction with a bi-cubic interpolation sampling from a Payer array. Insufficient cow method to generate images.
- FIG. 17 shows the configuration of the imaging apparatus according to the third embodiment of the present invention.
- FIG. 1 shows a configuration of an imaging apparatus according to a first embodiment of the present invention.
- An imaging apparatus 100 is an imaging optical system that forms an optical image of a subject.
- the optical system includes a system 110 and an imaging device 120 that outputs an image signal of a predetermined region of an optical image formed by the imaging optical system 110.
- the imaging device 120 is an area-shaped photoelectric conversion element that photoelectrically converts an optical image formed by the imaging optical system 110 to obtain digital image data (a set of pixel data).
- (Imaging element) 122 and a readout control unit 124 that reads out image data obtained by the photoelectric conversion element 122 by thinning out the pixels as necessary.
- the image capturing apparatus 100 further sets an area of the image to be output (displayed) (that is, the above-described predetermined area) (that is, specifies the size and position of the image to be displayed), In the area setting section 1 3 2
- a distortion correction unit 140 that corrects the distortion of the digital image data deviated five times from 122.
- Crop control unit 1 2 4 (3, 3 ⁇ 4t 1 1 4) Based on the pixel thinning readout rule selected by the rule selection unit 1 3 4
- Pixel data in the corresponding range in the pixel array in 1 2 2 is extracted.
- the image data thinned out from the image device 120 is output o
- the distortion correction section 140 includes a filter control section 1442 for filtering digital image data 17C extracted from the photoelectric conversion element 122 by the readout control section 124, and a readout rule selection section. In accordance with the pixel thinning-out reading rule selected in A filter coefficient setting unit 144 for setting a filter coefficient used for the filter processing of the filter processing unit 142.
- the filter coefficient setting section 144 includes a LUT storage section 144 that stores a look-up table (LUT) including a plurality of filter coefficients, and a filter from a look-up table stored in the LUT storage section 146. And a filter coefficient selection unit 148 for selecting a coefficient.
- LUT look-up table
- the filter coefficient setting section 1 4 4 is not necessarily the UT storage section 1
- the finole coefficient setting unit 144 using ⁇ T requires a lot of memos to store TT, but the computational load is small.
- the filter coefficient setting unit 144, which does not use U ⁇ , does not require a large amount of memory, although the computational load is large.
- the m-image device 100 further performs a predetermined process (of white balance or tone conversion ⁇ edge enhancement) on the image 15 1 output from the distortion correction unit 140 and corrected for correctness.
- a predetermined process of white balance or tone conversion ⁇ edge enhancement
- the imaging device 100 has an image recording unit 156 that records an image in accordance with the image signal output from the image signal processing unit 152. are doing.
- the imaging device 100 displays the image obtained by the photoelectric conversion element ⁇ 22 on the image display unit 154 as it is. That is, all pixel data of the image data is displayed. Therefore, the image display section 15
- the area setting section 13 2 is composed of a Darafil user interface (GUi) for the screen of the image display section 15 4. On the displayed image, operate the buttons, mouse, etc. to keep the desired display area for ⁇ days / £.
- GUI Darafil user interface
- the thinning-out readout operation is performed by the thinning-out readout operation.
- the imaging device 120 0 sets the pixels in a specific area on the photoelectric conversion element 122 to all the pixels. Reading can be performed within a shorter time than reading.
- the imaging device 120 designates a readout position using a shift in both the horizontal direction and the vertical direction. Comes out.
- the i-th element of the j-line is assumed to be C (i, j)), and the pixels in the horizontal direction from there are c (+1) and C (i), respectively.
- the photoelectric conversion elements 122 are CCD.
- CCD shifts the charge in the horizontal direction and shifts the charge to PJ9, so the image device 120 can read out all pixels ⁇ ⁇ lij in the horizontal direction and thinned out in the vertical direction.
- the distortion correction unit 140 interpolates the missing information and performs the filtering process of the magnification conversion on the digital image data thinned and read in this manner. That is, in this specification, the distortion correction means that “interpolation j” and “magnification conversion J are performed at l.
- FIG. 2 shows an example in which a 14/16 small B conversion is performed in the horizontal direction on an image of an RG / GB bay array.
- the upper part shows a one-dimensional data array of pixels after the reduced conversion
- the lower part shows a one-dimensional data array of pixels after the reduced conversion.
- R i 2p and G i 2p + 1 (P is an integer of 0 or more and less than 7) are pixel data of pixels that are continuously arranged in the horizontal direction in the photoelectric conversion element 122. , And have consecutive subscripts corresponding to the positions of the pixels arranged in the horizontal direction.
- R c 2q and G c 2 q + 1 (where q is an integer of 0 or more and less than 6) represent pixel data after conversion, and are consecutive subscripts corresponding to the positions of pixels arranged in the horizontal direction. have.
- R c 2 after the conversion is expressed by the following equation (2) using R i 2 and R'4.
- FIG. 3 shows a state in which the data of the eighth pixel and the data of the ninth pixel from the left of the 16 pixels before the conversion are omitted in the conversion shown in FIG.
- slipping off the pixel de Isseki R ig and G ig was, in each have use pixel data R i 6 and R '10 and the pixel data G i 9 and G i [pi adjacent the same channel, the following equation ( Linear interpolation should be performed according to 3).
- Figure 4 shows an example in which two out of 16 pixels are thinned out and read out in both the horizontal and vertical directions.
- the 8th and 9th pixels are thinned out in both the horizontal and vertical directions.
- FIG. 5 shows the state of the conversion of the first column on the left in the pixel data read out thinned out according to the example of FIG. 4 * o.
- the pixel data that is deviated by 5 at 5 o'clock is vertically represented by Ri 0, Gi 1, Ri 2, Gi 3, Ri 4, G ′ 5, R'6,
- R i12, G i13, R'14, and G ⁇ 15 i.e., 14 pieces.
- Equation (7) shows that the 14th pixel T, which is obtained by thinning out the 8th (8th line) and 9th (9th line) pixel data, is
- the pixel data used when obtaining the pixel data Rc 8 is the same as the pixel data used when obtaining the pixel data Rc 6. That is, the pixel data used to obtain the pixel data R c 8 are offset it to a differs from the sequence of pixel data used to obtain the pixel data R ci R c 6 (ie phase ). Even with the pixel data G c 7 and G c 9 it says the same thing.
- R i 0 G, R i 2 G ⁇ 3 R ⁇ 4 G i 5 R i 6 G '7 R i 10 G ⁇ R ⁇ 12 G ⁇ 13 R i 14 G ⁇ is 14.
- R j () and G ji R j 2 G j 3 R j 4 G j 5 R ' ⁇ 6 G j 7 R j 8 G j 9 R j 10 G j 11 j 12> G j 13 deep . That is,
- R′2 and G′2p + 1 (P is an integer of 0 or more and less than 7) represent pixel data of pixels arranged in the horizontal direction in the photoelectric conversion element 122 as described above.
- the part where the subscript is skipped is
- R j 2r and G j 2r + 1 (r is an integer of 0 or more and less than 6) represent pixel data actually read out by pixel thinning-out reading, and correspond to the order in which gJC is extracted. Have consecutive subscripts.
- A is a transformation matrix that performs one-dimensional distortion compensation (that is, in the above example, 2 pixels out of 16 pixels are thinned out.
- B is an n- by-1 matrix representing pixel data before distortion compensation, and
- C is an n-by-1 matrix representing pixel data after distortion compensation.
- the read data in Fig. 4 is represented by the following matrix D j.
- equation (1 2) a line is drawn at the skipped part.
- D (j) the uniform array of ⁇ 4 X 14 pixels
- the conversion to correct the distortion in the vertical direction after correcting the distortion in the horizontal direction can be obtained by using A in equation (11).
- o canceller and, c AT is representing the transposed matrix of A
- Fig. 6 shows a pipeline of the conversion expressed by equation (7) for a photoelectric conversion element 122 composed of a single-chip color imager with a power FO filter array (CFA) arranged on the front. It shows the configuration of a filter processing unit that performs processing.
- CFA power FO filter array
- the fill-in processing unit selects a shift register 162 into which the image signal read from the single-chip color image sensor is input, and a read position for reading the image signal from the shift register 162.
- the distortion of image information read from a single-chip color image sensor is corrected by pipeline processing in which the number of input data and the number of output data are equal.
- ⁇ h 0) of k j 1 of the matrix
- Shift register selected by 6 4 and 1 6 6 This represents a selection criterion for the position.
- P ij and Q i j + 1 are the ⁇ th and i + 1st pixel data before distortion correction, respectively
- P cj and Q c ⁇ + ⁇ are the pixel data after correction, respectively
- bi and j are Represents the elements of the distortion correction transformation matrix (positive ⁇ fear 'positive coefficient)
- a j and j are expressed by the following equation (23).
- D represents the number of pixels decimated by ⁇ from the i-th image of n pixels read by m consecutive pixel blocks on the imager.
- F is the largest integer (F ⁇ 0) not exceeding W i defined by the following equation (20).
- aj and j are the coefficients of an n-by-m matrix in the transformation performed by one-dimensional interpolation to change the size by n / m (n ⁇ m), expressed by the following equation (23).
- P ij and Q i i +1 are the ith and i + 1 pixel data before the size change, respectively
- P oj and Q oj + 1 are the pixel data after the change, respectively
- Wi ' Wi-F ". (25)
- W i is defined by equation (20), and F is the largest integer not exceeding W i (F ⁇ 0).
- Fig. 7 shows a filter process in which the conversion expressed by equation (7) is performed by pipeline processing on a photoelectric conversion element 122 composed of a single-color monochrome image sensor or a multi-color image sensor. 2 shows the configuration of the unit.
- the filter processing section selects a shift register 182 to which an image signal read from a monochrome image sensor or a multi-color image sensor is input, and a read position for reading an image signal from the shift register 182. Shift register by two selectors 1 84 and 1 86 and selectors 1 84 and 1 86 E2 Two multipliers 194 and 196 for multiplying the image signal read from 182 by the correction coefficients k1 and k2, respectively, and two multipliers. And an adder 198 for adding the calculation result of the image data.
- ⁇ h 0-(26)
- k ⁇ is the leftmost non-zero element in the ⁇ th row of the matrix (bj
- h 0 indicates that all the elements below the hth in the ith row are 0.)
- ki2 1-kjl-(27) kj 2 is the residual of kj in matrix 1
- the number of selectors is increased in accordance with the shift amount (i-1h) of the five deviations (FIG. 7 shows the case where the shift amount is one pixel).
- the subscript i is based on the filter one processing unit in FIG. It represents the sequence number of the pipeline processing, and kj
- P ij represents the i-th pixel data before distortion correction
- P cj represents pixel data after correction
- b j, j represent elements (distortion correction coefficients) of the distortion correction conversion matrix.
- a j and j are expressed by the following equation (35).
- D represents the number of pixels decimated until the i-th pixel of the n pixels read by the m successive pixel blocks on the imager is read.
- F is the largest integer (F ⁇ 0) not exceeding W i defined by the following equation (32).
- bjj--D-F 0.5 (3 ⁇ 4 ⁇ + 1)
- b .D-F + l 1-bi, i-D-2F
- bjj 0, j ⁇ i-D-F, iDF + 1 a, ⁇ , j is expressed by the following equation (35), and is expressed by the one-dimensional interpolation of n / m (n ⁇ m). These are the coefficients of an n-by-m matrix in the transform that changes the size.
- P ij is the ith pixel data before the size change
- P 0 j is the pixel data after the change
- a j and j are the elements of the transformation matrix (primary interpolation coefficients of the size change).
- Wi ' Wi-F-(37)
- w i is defined by Eq. (3 2)
- F is the largest integer (F ⁇ 0) that cannot in W 0
- Figure 8 shows the flow of the distortion correction process.
- the image signal has information S1 of the intensity of the photoelectric conversion and, in the case of a raster scan, time-series information S2, and the pixel position can be calculated from the time-series information (S4).
- the period of ⁇ extraction that is decimated for size change is at most 30 pixels.
- the target is determined from the information of the decimated position and pixel position in the ' ⁇
- m means the remainder of dividing the number N by the number X.
- Fig. 9 shows an example in which two of eight images are thinned out and read in both the horizontal and vertical directions. Here, as an example, consider reading out the first row with horizontal thinning.
- the pipeline processing is performed by the filter processing unit shown in FIG.
- the shift register 162 shifts the held image data to the right according to the clock for each operation.
- the selector 164 is in the s1 state. According to the above, one of the five adjacent pixels stored in the shift register 16 2 is selected. According to the state of the above, select one of the third and the fifth of the five adjacent pixel data held in the shift register
- the multiplier 17 4 multiplies the output d 1 of the selector ⁇ 6 4 by a weighting addition coefficient k 1, and the multiplier 17 6 forms the selector 1 16
- the output d 2 of 6 is multiplied by a coefficient k 2 of weighted addition, and an adder 1
- Table 1 shows the operation (state transition) of the pipeline processing of the file processing unit shown in Fig. 6.
- C 3 When 1 is 0, C 3 is selected (therefore, d 1-C 3). On the other hand, the selector 1666 selects C 3 when s 2 is 1 and yd selects C 3.
- Outk 1 Xd 1 + k 2 X d 2 is output from 1 7 8
- Table 1 the shift of the sequential data, the switching of the selector according to the states of s1 and s2, and the output of the weighting coefficients k1 and k2 according to the decimation rule shown in equation (7)
- pipeline processing including the pixel phase operation (selector replacement) is performed.
- color information on a single image sensor such as a monochrome or three-color image sensor, other than CFA (Color Filter Arrays), such as a Payer array or an array of complementary color filters, is used.
- CFA Color Filter Arrays
- the thinning method is also as described above. It is not necessary to keep two pixels in a row in order to match the phase of the same color signal in order to keep the reading order constant (R, G, R, G, ).
- PC2 aPi-i + (1 ⁇ a) Pi2 (39)
- P c is the pixel data after conversion
- P i is the pixel data of the conversion source.
- the pipeline processing is performed by the filter processing unit shown in FIG. Shift register 18 2 is clocked. 4 For each of the following operations, shift the held image table to the right.
- the selector 184 selects one of the first and second of the three adjacent pixel data according to the state of s 1.
- the selector 186 selects one of the first and third pixel data among the three adjacent pixel data according to the state of s 2.
- the multiplier 194 multiplies the output d 1 of the selector 184 by a coefficient k 1 for weighted addition, and the multiplier 196 multiplies the output d 1 of the selector 184.
- the image data obtained by the light conversion element is thinned out at least in the vertical direction, preferably ⁇ in both the vertical and horizontal directions. Therefore, the imaging device according to the present embodiment has a shorter time lag than a normal imaging device that softly thins out after reading all the image data of the photoelectric conversion elements. Further, the image data can be ⁇ -jumped.
- the thinned pixel data is linearly interpolated and set in the set area. Correction is performed to reduce the size. Therefore,-the imaging device of the present embodiment forms a high-quality image.
- the present embodiment is directed to an imaging device that is particularly suitable for capturing moving images. Have been.
- FIG. 10 does not show the configuration of the imaging device according to the first embodiment of the present invention.
- the elements indicated by the same reference numerals as the elements of the imaging device 100 of the first embodiment are the same elements y, and the detailed description thereof will be continued to avoid duplication. Omitted in the description.
- the imaging device 200 of the present embodiment includes an image forming optical system 110 for forming an optical image of a subject and an image signal of a predetermined area of the optical image formed by the image optical system 110.
- Ffll image device 220 that continuously outputs That is, the image 15 output from the imaging device 220 is a moving image signal, which is composed of image data of a plurality of frames that are continuous in time series.
- the imaging device 220 is a lens that obtains a digital image data (a set of pixel data) by photoelectrically converting the optical image formed by the imaging optical system 110.
- a digital image data a set of pixel data
- the image pickup device 200 further sets an area of an image to be output.
- the area setting section 132 and the 57E inspection control section 224 select the pixel readout rule of the 57E inspection rule selection section. 2 3 4 and a distortion correction section 140 that corrects the distortion of the image data that has been deviated 5 times from the imaging device 220.o
- the details of the correction section 140 are This is as described in the embodiment.
- the readout control unit 222 The read phase control unit 230 that changes the reference position of the image data range (read range) read from the conversion element 222 for each frame, and is set for each frame by the read phase control unit 230
- An image range selection processing unit 240 selects a range common to all frames of the image data corrected by the distortion correction unit 140 based on the reference position of the read range.
- the reading phase control unit 230 changes the reference position of the reading range for each frame, and the reading is performed in response to the image range selection processing unit 240 selecting a range common to all frames.
- the rule selection unit 234 sets a pixel thinning-out reading rule so that the readout control unit 224 reads out image data over a wider area than the image area set by the area setting unit 132. select.
- the read control unit 224 in the imaging device 220 sets the read rule selected by the read rule selection unit 134 and the reference position of the read range set by the read phase control unit 230. Based on this, the corresponding range of image data (pixel data for one frame) in the pixel array in the photoelectric conversion element 222 is continuously read. As a result, the imaging device 220 outputs a moving image signal composed of image data of a plurality of frames continuous in time series.
- the imaging device 200 further comprises three cyclic frame memories 252, 254, 254, and 352, which temporarily store image data of a plurality of frames.
- the interlacing operation interpolates the missing pixel data between the two fields so that the interlacing operation is performed between the two consecutive frames. Interpolate the existing pixel data.
- the shift area is preferably about 4 to 8 pixels.
- pixel data at a specific position in the photoelectric conversion element 222 that is missing due to thinning-out reading in a specific frame image frame is included in another frame image frame. It becomes like. In other words, it is possible to avoid that pixel data at a specific position of the photoelectric conversion element 222 is always missing from the image signal output from the imaging device 222.
- the inter-frame operation processing unit 260 rewrites the frame memory to the frame memories 25 2, 25 4, and 25 6. ⁇ ⁇ Performs processing to interpolate the missing pixel data on the image data of the consecutive frames that have been obtained. For example, add 12: 1/2 to the image data of two consecutive frames. O Or, add 1/4 • 1/2: 1 to the image data of three consecutive frames. /
- Fig. 11 and Fig. 12 schematically show the shift of the reading range from the ⁇ u position to the ⁇ c position by the repeated pulling out of 6/8.
- [X, y] represents the pixel position (X, y) of the pixel array of the photoelectric conversion element 122
- o represents the pixel array of the readout range.
- the number of pixels of the light conversion element 122 is k pixels in the horizontal direction and 1 pixel in the vertical direction. Accordingly, the position of the upper left pixel of the photoelectric conversion element 122 can be expressed as [0, 0], and the position of the lower right pixel can be expressed as [k, I].
- the number of pixels in the readout range is m pixels in the horizontal direction and n pixels in the vertical direction. Therefore, the read start position at the upper left of the frame can be expressed as (0, 0), and the read end position at the lower right can be expressed as (m, n).
- the reading range of the frame in Fig. 12 is shifted by +2 pixels in the horizontal direction and +2 pixels in the vertical direction with respect to the reading range of the frame in Fig. 11.
- the upper left read start position (0, 0) coincides with the upper left pixel position [0, 0] of the photoelectric conversion element 122. That is,
- the image range selection processing section 240 selects a range common to the frame in FIG. 11 and the frame in FIG. That is, the image range selection processing unit 240 selects a rectangular range having (2, 2) and (m, n) as diagonal vertices for the frame of FIG. For the frame shown in Fig. 12, select a rectangular range from (0, 0) to (m-2, n1-2) on the diagonal vertices.
- the range selected by the image range selection processing section 240 always has (m-2) X (n_2) pixel data.
- the image range selection processing unit 240 changes the range of the clip based on the information on the read start position.
- All of the frame memories 25 2, 25 4, and 25 6 are memory units of a FIFO (First In First Out), and the inter-frame arithmetic processing unit 260 is used for those frames.
- An output image is generated using the pixels at the same position in the frame memories 25 2, 25 4 and 25 6.
- i and j represent pixel positions
- I (k, i, j) is the intensity of the image signal at pixel positions i and j of the k-th frame.
- both the horizontal and vertical directions are thinned out.
- the image of the root may be generated by performing interpolation synthesis with the same configuration as in FIG.
- Fig. 13 shows a moving image obtained by performing averaging processing between consecutive frames after performing thinning-out reading of 2 pixels out of 14 pixels (sizing change of 6Z7).
- Fig. 14 Performs averaging between consecutive frames after performing thinning readout (changing the size of 6Z7) in addition to correctness correction (pixel data interpolation) in 2 pixels out of 14 images. Comparing the persons who show the obtained moving images, it can be seen that the image of FIG. 14 has reduced edge distortion compared to the image of FIG. 13 0
- the imaging device of the present embodiment has the same occupation as the advantages of the imaging device of the first embodiment.
- the imaging apparatus in the moving image capturing, changes the five-deflection rule for each frame and extracts the image data by ⁇ , thereby specifying the inside of the power conversion element. Therefore, the image capturing apparatus of the present embodiment can form a fine moving image with little distortion.
- the imaging device interpolates missing pixel data based on image data of continuous frames, thereby reducing the number of frames. This avoids the loss of true pixel data.o This allows the imaging apparatus of the present embodiment to form a high-definition moving image with less distortion and moiré.
- FIG. 17 shows the configuration of the imaging device according to the-embodiment of the present invention.
- O FIG. 17 1 Elements indicated by the same reference numerals as those of the imaging device 100 of the first embodiment. Are equivalent elements, and a detailed description thereof will be omitted in the description that follows to avoid duplication.
- An imaging device 300 of the present embodiment includes an imaging optical system 110 for imaging an optical image of a subject, and a predetermined region of an optical image formed by the imaging optical system 110.
- An imaging device 220 for continuously outputting image signals. That is, the image signal output from the imaging platform 220 is a moving image, which is composed of image data of a plurality of frames that are continuous in time series.
- the imaging device 220 is an area-type photoelectric conversion device that photoelectrically converts an optical image formed by the imaging optical system 110 to obtain digital image data (a set of pixel data). It has a device 222 and a deviating control unit 224 that continuously thins out the image data obtained by the photoelectric conversion device 222 as necessary. .
- the imaging device 300 also outputs the AS of the output image.
- ⁇ .00 indicates that the readout control section 224 synchronizes the readout rule of the image data read out from the photoelectric conversion element 222 with the evening imaging generator 304, and the readout rule modulation section 306. This modulates the readout rule for each frame. In the read rule modulator 306, a different read arrangement is generated for each frame, but the total number of read pixels is not changed.
- the distortion correction unit 140 is used by the read-out rule modulation unit 5 Generate / Create 5 Filter coefficients used for filter processing in filter processing section 14 2 and filter processing section 14 2 that perform final processing in accordance with the deviating rule The coefficient has a coefficient of 1/4.
- the image data which is extracted between a plurality of frames according to a simple 57-out rule and subjected to a distortion correction fill process is processed by a frame-to-frame arithmetic unit 308.
- the embodiments of the present invention have been described with reference to the drawing ⁇ ⁇ until the data is output to a subsequent processing system (not shown) after the inter-frame operation is performed.
- the present invention is not limited to these embodiments, and various modifications and changes may be made in IB without departing from the gist of the invention.
- an imaging apparatus capable of forming a fine image with a short time required for reading out an imager from the imaging element at a short time ⁇ with little distortion due to size change.
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Abstract
Description
Claims
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EP03776025A EP1569442A4 (en) | 2002-12-02 | 2003-12-02 | VIEWING DEVICE |
JP2004556893A JP4445870B2 (ja) | 2002-12-02 | 2003-12-02 | 撮像装置 |
US11/059,490 US8040385B2 (en) | 2002-12-02 | 2005-02-15 | Image pickup apparatus |
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JP2002-349968 | 2002-02-12 | ||
JP2002349968 | 2002-12-02 |
Related Child Applications (1)
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US11/059,490 Continuation US8040385B2 (en) | 2002-12-02 | 2005-02-15 | Image pickup apparatus |
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WO2004051987A1 true WO2004051987A1 (ja) | 2004-06-17 |
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ID=32463059
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PCT/JP2003/015423 WO2004051987A1 (ja) | 2002-12-02 | 2003-12-02 | 撮像装置 |
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EP (1) | EP1569442A4 (ja) |
JP (1) | JP4445870B2 (ja) |
KR (1) | KR100695396B1 (ja) |
CN (1) | CN100350794C (ja) |
WO (1) | WO2004051987A1 (ja) |
Cited By (8)
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JP2006049950A (ja) * | 2004-07-30 | 2006-02-16 | Sony Corp | 動画像変換装置、動画像復元装置、および方法、並びにコンピュータ・プログラム |
EP1653730A2 (en) * | 2004-10-20 | 2006-05-03 | Nikon Corporation | Electronic camera |
JP2008005137A (ja) * | 2006-06-21 | 2008-01-10 | Matsushita Electric Ind Co Ltd | 固体撮像装置および撮像システム |
JP2008060893A (ja) * | 2006-08-31 | 2008-03-13 | Dainippon Printing Co Ltd | 補間演算装置 |
JP2009010923A (ja) * | 2007-02-27 | 2009-01-15 | Phase One As | デジタル画像のカラービニング |
US7580622B2 (en) | 2004-10-29 | 2009-08-25 | Olympus Corporation | Imaging apparatus |
CN102427506A (zh) * | 2011-10-17 | 2012-04-25 | 天津天地伟业数码科技有限公司 | 帧数据的滤波降噪***及滤波降噪方法 |
CN102595026A (zh) * | 2012-03-16 | 2012-07-18 | 天津天地伟业数码科技有限公司 | 视频数据的滤波降噪***及滤波降噪方法 |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
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DE602005007989D1 (de) * | 2004-11-10 | 2008-08-21 | Nippon Kogaku Kk | Elektronische Kamera |
JP4626482B2 (ja) | 2004-11-10 | 2011-02-09 | 株式会社ニコン | 電子カメラ |
TWI377521B (en) | 2008-05-27 | 2012-11-21 | Novatek Microelectronics Corp | Image processing apparatus and method |
CN102625031A (zh) * | 2012-03-21 | 2012-08-01 | 天津天地伟业数码科技有限公司 | 视频数据的中值滤波降噪***及滤波降噪方法 |
JP6917803B2 (ja) * | 2017-06-27 | 2021-08-11 | キヤノン株式会社 | 撮像装置、制御方法、及びプログラム |
WO2019153327A1 (zh) * | 2018-02-12 | 2019-08-15 | 深圳市汇顶科技股份有限公司 | 图像获取方法和装置 |
CN110597164B (zh) * | 2019-08-26 | 2021-04-13 | 南通深南电路有限公司 | 芯板熔合的控制方法及其控制***、熔合机以及存储装置 |
CN115278190A (zh) * | 2021-04-30 | 2022-11-01 | 卡莱特云科技股份有限公司 | 一种视频数据显示色彩的校准方法、校准设备及校准*** |
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JP2006049950A (ja) * | 2004-07-30 | 2006-02-16 | Sony Corp | 動画像変換装置、動画像復元装置、および方法、並びにコンピュータ・プログラム |
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JP2008060893A (ja) * | 2006-08-31 | 2008-03-13 | Dainippon Printing Co Ltd | 補間演算装置 |
JP2009010923A (ja) * | 2007-02-27 | 2009-01-15 | Phase One As | デジタル画像のカラービニング |
CN102427506A (zh) * | 2011-10-17 | 2012-04-25 | 天津天地伟业数码科技有限公司 | 帧数据的滤波降噪***及滤波降噪方法 |
CN102595026A (zh) * | 2012-03-16 | 2012-07-18 | 天津天地伟业数码科技有限公司 | 视频数据的滤波降噪***及滤波降噪方法 |
Also Published As
Publication number | Publication date |
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EP1569442A4 (en) | 2009-08-12 |
EP1569442A1 (en) | 2005-08-31 |
KR100695396B1 (ko) | 2007-03-16 |
JPWO2004051987A1 (ja) | 2006-04-06 |
KR20050054966A (ko) | 2005-06-10 |
JP4445870B2 (ja) | 2010-04-07 |
CN100350794C (zh) | 2007-11-21 |
CN1720720A (zh) | 2006-01-11 |
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