WO2003100723A1 - Unit for and method of calculating a sharpened edge - Google Patents
Unit for and method of calculating a sharpened edge Download PDFInfo
- Publication number
- WO2003100723A1 WO2003100723A1 PCT/IB2003/001870 IB0301870W WO03100723A1 WO 2003100723 A1 WO2003100723 A1 WO 2003100723A1 IB 0301870 W IB0301870 W IB 0301870W WO 03100723 A1 WO03100723 A1 WO 03100723A1
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- WO
- WIPO (PCT)
- Prior art keywords
- edge
- transient
- unit
- image
- original
- Prior art date
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- 238000000034 method Methods 0.000 title claims description 10
- 230000001052 transient effect Effects 0.000 claims abstract description 55
- 238000001914 filtration Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000001419 dependent effect Effects 0.000 description 2
- 230000001965 increasing effect Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 102220526841 Basic salivary proline-rich protein 1_H26L_mutation Human genes 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000001629 suppression Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
- G06T5/75—Unsharp masking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
Definitions
- the invention relates to an edge enhancement unit for calculating a sharpened edge for an original edge in an image, the original edge being represented by a transient in a signal representing values of pixels of the image.
- the invention further relates to a method of calculating a sharpened edge for an original edge in an image, the original edge being represented by a transient in a signal representing values of pixels of the image.
- the invention further relates to an image processing apparatus comprising:
- - receiving means for receiving a signal representing values of pixels of an image
- - an edge enhancement unit for calculating a sharpened edge for an original edge in the image, the original edge being represented by a transient in the signal.
- Sharpness enhancement of video signals increases the perceived image quality.
- Sharpness enhancement means modifications of the transients in the signal representing the values of pixels.
- Sharpness enhancement usually a boosting of the higher frequency components, which is called “peaking" results in edges with increased steepness.
- noise in the image is also enhanced. Enhancement of high frequency components in areas where little image detail is present, introduces noisiness. In these areas without edges peaking is undesired.
- the edge enhancement unit comprises:
- the sharpness enhancement is dependent on the local sharpness in the image.
- the edge enhancement unit according to the invention is arranged to detect edges, i.e. luminance or chrominance transients in the signal and to determine properties, i.e. characteristics, of the edges. Nalues of pixels corresponding to the original edge and pixels in the neighborhood of the original edge are taken into account for that. At least one property is applied for the control of the sharpness enhancement.
- the advantage of the edge enhancement unit is that the edge enhancement unit is arranged to classify the transients in the signal in: - a first type of transients belonging to edges of objects in the scene being captured; and
- the edge determining unit is arranged to determine the first property of the transient being a width of the transient.
- the width of the transient is a good property to characterize the edge. Hence, a good discrimination between real object edges and noise is achieved by this embodiment of the edge enhancement unit according to the invention.
- the filter unit is arranged to select the second number of pixels around the original edge on basis of the width of the transient. Preferably the filter unit is arranged to select the second number of pixels proportionally with the width of the transient.
- a variation of the filter length, i.e. the second number of selected pixels, with the width of the transient provides advantages over a filter with a fixed length: If a transient, thus an edge, is relatively wide, peaking with a filter of short length, e.g. a [ -1 2 -l]/4 high-pass filter, will only increase the noise superimposed on this relatively wide edge. A wider filter, e.g. [-1 -2 -1 2 4 2 -1 -2 - 1]/16 will boost lower frequencies according to the wider edge.
- the second number of selected pixels is even flexible for the edge: the length of the filter is varied along the edge, e.g. a short filter at the beginning and end of the transient, gradually applying a longer filter towards the center of the transient.
- the filter unit is arranged to determine weighting factors for weighting the second number of pixels around the original edge on basis of the width of the transient.
- the advantage of this filter is that it allows a flexible adaptation of the filter to the large variety of transients.
- the weighting factors are even flexible for the transient: the weighting factors, i.e. the coefficients of the filter, are varied along the transient.
- the edge determining unit is arranged to determine the width of the transient by means of:
- the width of the transient is determined by measuring the distance between zero crossings in the derivative signal. To reduce sensitivity to noise, a predetermined threshold is subtracted from the absolute derivative signal.
- the edge determining unit is arranged to determine a second property of the transient being a first orientation of the original edge relative to the image and the filter unit is arranged to calculate the sharpened edge having a second orientation, the first orientation and the second orientation substantially mutually equal.
- the filter unit is applied in the direction perpendicular to the edge because this is the direction where sharpness enhancement has effect. Sharpness enhancement parallel to the edge will only increase noise.
- the edge determining unit is arranged to determine a third property of the transient being a height of the transient and the edge enhancement unit is arranged to limit the edge enhancement if the height of the transient is below a first predetermined threshold and the width of the transient is below a second predetermined threshold.
- Another embodiment of the edge enhancement unit according to the invention comprises a noise reduction unit being controlled by the edge determining unit. If a transient of the second type of transients, i.e. caused by noise, is detected then a noise reduction is applied. It has been mentioned above that sharpness enhancement parallel to the edge will only increase noise. In that direction a noise reduction filter, e.g. a low-pass filter is applied. Preferably the length of the noise reduction filter also depends on the edge: the width of the transient. In other words, the amount of blurring parallel to the edge is proportional to the size of the edge, i.e. the width of the transient.
- This object of the invention is achieved in that the method comprises:
- the image processing apparatus may comprise additional components:
- a display device for displaying an image comprising the enhanced edge, e.g. a TN-set; - storage means for storage of an image comprising the enhanced edge, e.g. a
- NCR Non Cassette Recorder
- DND recorder Digital Versatile Disk
- - transmission means for providing an image comprising the enhanced edge to a TV-set, e.g. a set-top box.
- the image processing apparatus might further support one or more of the following types of image processing:
- Interlacing is the common video broadcast procedure for transmitting the odd or even numbered image lines alternately. De-interlacing attempts to restore the full vertical resolution, i.e. make odd and even lines available simultaneously for each image;
- Up-conversion From a series of original input images a larger series of output images is calculated. Output images are temporally located between two original input images;
- edge enhancement unit may correspond to modifications and variations thereof of the image processing apparatus and of the method described.
- Fig. 1 schematically shows an embodiment of the edge enhancement unit
- Fig. 2 A schematically shows an embodiment of the edge enhancement unit comprising a peaking circuit
- Fig. 2B schematically shows the embodiment of the edge enhancement unit of Fig 2A in more detail
- Fig. 3 A schematically shows an image with an edge
- Fig. 3B schematically shows an edge with the vector perpendicular to the edge
- Fig. 4 schematically shows multiplication factors for filters of a peaking circuit of Fig. 2B
- Fig. 5 A schematically shows an embodiment of the edge enhancement unit comprising a noise reduction unit
- Fig. 5B schematically shows an embodiment of the edge enhancement unit being arranged to perform edge enhancement and noise reduction in opposite directions;
- Fig. 6 schematically shows elements of an image processing apparatus. Same reference numerals are used to denote similar parts throughout the figures.
- Fig. 1 schematically shows an embodiment of the edge enhancement unit 100. for calculating a sharpened edge for an original edge 300 in an image.
- the original edge 300 is represented by a transient 112 in a signal 110 representing values of pixels of the image.
- the edge enhancement unit 100 comprises:
- an edge determining unit 104 for determining a first property of the transient 112 on basis of values of a first number of pixels around the original edge; and - a filter unit 102 for calculating the sharpened edge on basis of values of a second number of pixels around the original edge and the first property of the transient.
- a video signal 110 is provided at the input connector 106 .
- the edge enhancement unit 100 provides the enhanced video signal, representing enhanced edges at the output connector 108.
- the horizontal and vertical edge width i.e. width of the transient in horizontal and vertical direction respectively, are calculated by measuring the distance between zero crossings in the respective derivative signals. To reduce sensitivity to noise, predetermined thresholds are subtracted from the absolute derivative signals.
- the horizontal edge width h( ⁇ ) (See Fig. 3B) is the distance between zero crossings of the horizontal derivative signal and the vertical edge width v(x) is the distance between zero crossings of the vertical derivative signal
- the edge width perpendicular to the edge is given by:
- Equation 7 the condition for h( ⁇ ) as specified in Equation 7 is preferably used.
- a similar condition is also applied for v(x) .
- Equation 7 is specified that the width of an edge should be inversely proportional to its height, resulting in the discarding of low and narrow edges (probably noise).
- the thresholds 7>, , Tr 2 and 7 3 in Equations 4,5 and 7 are adapted to the noise level in the image.
- Fig. 2 A schematically shows an embodiment of the edge enhancement unit 100 comprising a peaking circuit 102 as filter unit. The working of the peaking circuit is as described in chapter 2 of the book "Nideo Processing for Multimedia Systems", by G. de Haan .University Press Eindhoven, the Netherlands, 2000, ISBN 90-014015-8. The output of the peaking circuit, i.e. the enhanced signal, is calculated by means of adding high frequency components to the original signal.
- the high frequency components are determined by means of the high pass filter unit 200. These high frequency components are weighted by means of the weighting unit 202 before the addition takes place.
- the addition is performed by an adding unit 204.
- the edge determining unit 104 is arranged to control the peaking circuit 102.
- the weighting unit 202 is controlled, but preferably the high pass filter 200 unit is controlled. This is described in connection with Fig. 2B.
- Fig. 2B schematically shows the embodiment of the edge enhancement unit of
- Fig 2A in more detail. Especially the filter unit 102 is depicted in more detail.
- edge characteristics as a means for "points of interest" selection
- discrimination in the amount of edge enhancement for various parts of the image can be made.
- the gain of the high frequency boosting is dependent on the presence of edges, e.g. if there are no edges detected, less or no sharpening should be applied.
- the modulation of the edge enhancement is done by selecting an appropriate filter, e.g. by setting the coefficients of a convolution kernel. That means that the weighting factors of the pixels of the input image which are used to calculate the output image are selected.
- An embodiment of the filter unit comprises a number of filter tabs of which the multiplication coefficients can be controlled independently.
- FIG. 3A schematically shows an image with a vertical edge 300. Pixels at the left-hand side of the image, e.g. 304 and 306 have relatively high luminance values and pixels at the right-hand side of the image e.g. 314 and 316 have relatively low luminance values. The values of the pixel 308-312 are mutually increasing and form the edge 300.
- the edge determining unit By means of analyzing the various values of a first number of pixels, e.g. 304-316 around the edge 300 the edge determining unit is able to determine properties of the edge 300. Based on these properties and a second number of pixels, e.g. 306-314, the filter unit is arranged to calculate an enhanced edge. Optionally pixels from other rows of the pixel matrix are used for the analysis and the filtering.
- Fig. 3B schematically shows an edge with the vector e(x) perpendicular to the edge 300.
- the edge 300 has a horizontal edge width h(x) and a vertical edge width v(j?) which can be determined by means of Equation 4 and 5 respectively. Having knowledge over the horizontal and vertical edge width, combined with the gradient of the edge in both directions (white to black or black to white), it is possible to calculate the orientation angle of the edge. Based on this angle appropriate filtering in the right directions is performed: - edge-enhancement perpendicular to the edge, i.e. in the direction of e( ) ; and optionally
- FIG. 4 schematically shows the values of multiplication factors for filters of a peaking circuit of Fig. 2B as function of a property of edges.
- the multiplication factors are input for the multipliers 206 and 208.
- the x-axis represents a property of edges, e.g. the width of edges.
- the y-axis represents the multiplication factor.
- curve 402 the value of a first multiplication factor for a first filter as function of the width of edges is depicted: e.g. for the filter with convolution coefficients [-1 2 -1].
- curve 404 the value of a second multiplication factor for a second filter as function of the width of edges is depicted: e.g. for the filter with convolution coefficients [-1 0 2 0 -1].
- curve 406 the value of a third multiplication factor for a third filter as function of the width of edges is depicted: e.g. for the filter with convolution coefficients [-1 -2 -1 2 4 2 -1 -2 -1]. It can be seen that the curves 402-406 partly are overlapping. That means that for some values of the width of the edges multiple filters are applied.
- Fig. 5 A schematically shows an embodiment of the edge enhancement unit 500 comprising a noise reduction unit.
- the edge enhancement unit 500 comprises both a filter unit 102 for enhancing edges, i.e. boosting high frequency components and a filter unit 502 for reduction of noise, i.e. suppressing high frequency components.
- the actual filter characteristics of these two filter units 102, 502 depends on the control data of the edge determining unit 104: properties of transients in the signal.
- the outputs of the filter units 102, 502 are multiplied with multiplication factors and combined.
- the multiplication factors also depend on the control data of the edge determining unit 104.
- the multipliers 504, 505 together with the adding unit 508 form a multiplexer of the signal of which the high frequency components are enhanced and the signal of which the high frequency components are suppressed.
- Fig. 5B schematically shows an embodiment of the edge enhancement unit
- the edge enhancement unit comprises an interpolation unit 510 being arranged to rotate a portion of the image which corresponds with an edge on basis of the orientation angle a of the edge being estimated by the edge determining unit 104. Then a boosting of high frequency components is performed in a direction perpendicular to the edge by means of the filter unit 102 and a suppression of high frequency components is performed in a direction parallel to the edge by means of the filter unit 502. After combining the two filter results an inverse rotation is performed by means of the interpolation unit 512.
- FIG. 6 schematically shows elements of an image processing apparatus 600, comprising:
- the receiving unit 602 for receiving a signal representing images to be displayed after some processing has been performed.
- the signal may be a broadcast signal received via an antenna or cable but may also be a signal from a storage device like a NCR (Video Cassette Recorder) or Digital Versatile Disk (DVD).
- the signal is provided at the input connector 608.
- the receiving unit 602 is arranged to be tuned to a predetermined frequency band to extract images from the provided signal.
- an edge enhancement unit 604 as described in connection with Figs. 2A-2C or Figs. 5A-5B for calculating a sharpened edge for an original edge in the image, the original edge being represented by a transient in the signal.
- a display device 606 for displaying the processed images. This display device
- 606 is optional.
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- General Physics & Mathematics (AREA)
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- Theoretical Computer Science (AREA)
- Image Processing (AREA)
- Picture Signal Circuits (AREA)
- Facsimile Image Signal Circuits (AREA)
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- Apparatus For Radiation Diagnosis (AREA)
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Abstract
Description
Claims
Priority Applications (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2004508095A JP2005527051A (en) | 2002-05-24 | 2003-04-29 | Unit and method for calculating sharpened edges |
EP03720796A EP1512121B1 (en) | 2002-05-24 | 2003-04-29 | Unit for and method of calculating a sharpened edge |
DE60316559T DE60316559D1 (en) | 2002-05-24 | 2003-04-29 | CALCULATION UNIT AND METHOD FOR EDGE SCRATCHING |
AU2003224370A AU2003224370A1 (en) | 2002-05-24 | 2003-04-29 | Unit for and method of calculating a sharpened edge |
KR10-2004-7019032A KR20040106584A (en) | 2002-05-24 | 2003-04-29 | Unit for and method of calculating a sharpened edge |
US10/515,472 US20060164555A1 (en) | 2002-05-24 | 2003-04-29 | Unit for and method of calculating a sharpened edge |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP02077016 | 2002-05-24 | ||
EP02077016.0 | 2002-05-24 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2003100723A1 true WO2003100723A1 (en) | 2003-12-04 |
Family
ID=29558355
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IB2003/001870 WO2003100723A1 (en) | 2002-05-24 | 2003-04-29 | Unit for and method of calculating a sharpened edge |
Country Status (9)
Country | Link |
---|---|
US (1) | US20060164555A1 (en) |
EP (1) | EP1512121B1 (en) |
JP (1) | JP2005527051A (en) |
KR (1) | KR20040106584A (en) |
CN (1) | CN1656511A (en) |
AT (1) | ATE374406T1 (en) |
AU (1) | AU2003224370A1 (en) |
DE (1) | DE60316559D1 (en) |
WO (1) | WO2003100723A1 (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005331738A (en) * | 2004-05-20 | 2005-12-02 | Seiko Epson Corp | Mis-focus judging method and program thereabout |
JP2007060457A (en) * | 2005-08-26 | 2007-03-08 | Hitachi Ltd | Image signal processor and processing method |
EP1879147A1 (en) | 2006-07-11 | 2008-01-16 | Vestel Elektronik Sanayi ve Ticaret A.S. | Method and apparatus for adjusting the contrast of an image |
Families Citing this family (11)
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CN100423552C (en) * | 2005-10-09 | 2008-10-01 | 英华达股份有限公司 | Image freatment method and its device |
JP4555207B2 (en) * | 2005-10-18 | 2010-09-29 | Necディスプレイソリューションズ株式会社 | Image quality improving apparatus and image quality improving method |
JP4710635B2 (en) * | 2006-02-07 | 2011-06-29 | ソニー株式会社 | Image processing apparatus and method, recording medium, and program |
KR100946585B1 (en) * | 2006-02-16 | 2010-03-09 | 삼성전자주식회사 | Method for shoot suppression in image signal transition improvement, and image quality improvement device for the same |
KR100757731B1 (en) * | 2006-02-16 | 2007-09-11 | 삼성전자주식회사 | Method for adaptive image signal transient improvement, and image quality improvement device for the same |
TWI389571B (en) * | 2009-09-30 | 2013-03-11 | Mstar Semiconductor Inc | Image processing method and image processing apparatus |
CN103283215B (en) * | 2011-06-09 | 2017-03-08 | 郑苍隆 | Automatically focusedimage system |
KR101805623B1 (en) * | 2011-06-15 | 2017-12-07 | 삼성전자주식회사 | Method and apparatus for generating superresolution image using prediction and stabilization of high-frequency information of image |
CN103517048B (en) * | 2012-06-20 | 2017-03-01 | Vixs***公司 | Adaptive edge strengthens |
JP6542524B2 (en) * | 2014-10-29 | 2019-07-10 | 三星ディスプレイ株式會社Samsung Display Co.,Ltd. | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM |
CN112085679B (en) * | 2020-09-08 | 2022-03-22 | 眸芯科技(上海)有限公司 | Width-adjusted edge enhancement processing method and application |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0398861A2 (en) * | 1989-05-15 | 1990-11-22 | Polaroid Corporation | Method for adaptively sharpening electronic images |
-
2003
- 2003-04-29 AT AT03720796T patent/ATE374406T1/en not_active IP Right Cessation
- 2003-04-29 EP EP03720796A patent/EP1512121B1/en not_active Expired - Lifetime
- 2003-04-29 CN CNA038117487A patent/CN1656511A/en active Pending
- 2003-04-29 WO PCT/IB2003/001870 patent/WO2003100723A1/en active IP Right Grant
- 2003-04-29 AU AU2003224370A patent/AU2003224370A1/en not_active Abandoned
- 2003-04-29 US US10/515,472 patent/US20060164555A1/en not_active Abandoned
- 2003-04-29 JP JP2004508095A patent/JP2005527051A/en active Pending
- 2003-04-29 KR KR10-2004-7019032A patent/KR20040106584A/en not_active Application Discontinuation
- 2003-04-29 DE DE60316559T patent/DE60316559D1/en not_active Expired - Lifetime
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0398861A2 (en) * | 1989-05-15 | 1990-11-22 | Polaroid Corporation | Method for adaptively sharpening electronic images |
Non-Patent Citations (2)
Title |
---|
POLESEL A ET AL: "Adaptive unsharp masking for contrast enhancement", IMAGE PROCESSING, 1997. PROCEEDINGS., INTERNATIONAL CONFERENCE ON SANTA BARBARA, CA, USA 26-29 OCT. 1997, LOS ALAMITOS, CA, USA,IEEE COMPUT. SOC, US, 26 October 1997 (1997-10-26), pages 267 - 270, XP010254160, ISBN: 0-8186-8183-7 * |
SETO T ET AL: "Selective sharpness enhancement of heavily-corrupted old film sequences", PROCEEDINGS 2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (CAT. NO.00CH37101), PROCEEDINGS OF 7TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VANCOUVER, BC, CANADA, 10-13 SEPT. 2000, 2000, Piscataway, NJ, USA, IEEE, USA, pages 676 - 679 vol.2, XP001129099, ISBN: 0-7803-6297-7 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005331738A (en) * | 2004-05-20 | 2005-12-02 | Seiko Epson Corp | Mis-focus judging method and program thereabout |
JP4661084B2 (en) * | 2004-05-20 | 2011-03-30 | セイコーエプソン株式会社 | Misfocus determination method and related program |
JP2007060457A (en) * | 2005-08-26 | 2007-03-08 | Hitachi Ltd | Image signal processor and processing method |
EP1879147A1 (en) | 2006-07-11 | 2008-01-16 | Vestel Elektronik Sanayi ve Ticaret A.S. | Method and apparatus for adjusting the contrast of an image |
US8000551B2 (en) | 2006-07-11 | 2011-08-16 | Vestel Elektronik Sanayi Ve Ticaret A.S. | Method and apparatus for adjusting the contrast of an image |
Also Published As
Publication number | Publication date |
---|---|
EP1512121B1 (en) | 2007-09-26 |
AU2003224370A1 (en) | 2003-12-12 |
KR20040106584A (en) | 2004-12-17 |
ATE374406T1 (en) | 2007-10-15 |
CN1656511A (en) | 2005-08-17 |
JP2005527051A (en) | 2005-09-08 |
US20060164555A1 (en) | 2006-07-27 |
EP1512121A1 (en) | 2005-03-09 |
DE60316559D1 (en) | 2007-11-08 |
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