CN113099123A - High dynamic range video image acquisition method - Google Patents
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Abstract
The invention relates to the technical field of mobile communication, in particular to a high dynamic range video image acquisition method, which comprises the following steps: s1, acquiring a first preview image and a second preview image; s2, dividing the first preview image into first sub-areas and acquiring first exposure parameters; dividing the second preview image into a second subarea and acquiring a second exposure parameter; s3, determining a first exposure image based on the first exposure parameter, and determining a second exposure image based on the second exposure parameter; s4, combining the first exposure image into a first combined image, and combining the second exposure image into a second combined image; s5, performing alignment and synthesis processing on the first synthetic image to generate a first image; performing high dynamic range image synthesis processing on the second synthesized image to generate a second image; and carrying out alignment synthesis processing on the first image and the second image to generate a high dynamic range image. The invention solves the technical problem that the prior art can not adapt to scenes with different dynamic ranges.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a high dynamic range video image acquisition method.
Background
The High-Dynamic Range (HDR) technique is a technique for seeing image features under strong contrast, and if a High-luminance area and a low-luminance area such as shadow and backlight under irradiation of a strong light source coexist in an image, the image is changed into a white area due to overexposure and a black area due to underexposure, thereby seriously affecting the image quality. At present, in the process of shooting by using the HDR technology, exposure parameters are determined by a central key light metering mode, and the exposure parameters of each frame of image are effective for the whole picture. However, the luminance information of the whole frame itself is different, and exposure is performed with the same exposure parameters, which may cause overexposure or underexposure in a part of the frame, thereby degrading the shooting quality.
In contrast, chinese patent CN107592471A discloses a high dynamic range image capturing method, which includes: acquiring a preview image acquired by a camera; dividing a preview image into N subregions, wherein N is an integer greater than 1; acquiring an exposure parameter of each subregion; determining an exposure image corresponding to each subregion based on the exposure parameter corresponding to each subregion, respectively carrying out exposure processing on the preview image according to the exposure parameter corresponding to each subregion to obtain an initial exposure image corresponding to each subregion, and determining an image of the same region as the subregion in the corresponding initial exposure image as the exposure image of the subregion for each subregion; and carrying out image synthesis processing on the exposure images corresponding to all the subregions, and outputting a high dynamic range image.
And finally fusing the high dynamic range image by shooting image sequences of different exposure parameters. Because the exposure parameters of the image sequences with different exposure parameters play a crucial role in the dynamic range, the overall brightness and the tone relationship of the fused high-dynamic-range image, the method cannot adapt to scenes with different dynamic ranges, the dynamic range of the fused image is insufficient in the high-dynamic-range scene, and the overall brightness of the fused image is higher or lower and the tone relationship is reversed in the low-dynamic-range scene.
Disclosure of Invention
The invention provides a high dynamic range video image acquisition method, which solves the technical problem that the prior art cannot adapt to scenes with different dynamic ranges.
The basic scheme provided by the invention is as follows: a high dynamic range video image acquisition method is applied to a mobile terminal comprising a first camera and a second camera, and comprises the following steps:
s1, obtaining M frames of first preview images collected by a first camera, and obtaining N frames of second preview images collected by a second camera; wherein M, N is an integer greater than 1;
s2, dividing the first preview image into X first sub-areas, and acquiring a first exposure parameter of each first sub-area; dividing the second preview image into Y second subregions, and acquiring a second exposure parameter of each second subregion; wherein X, Y is an integer greater than 1;
s3, determining a first exposure image corresponding to each first sub-area based on the first exposure parameter corresponding to each first sub-area; determining a second exposure image corresponding to each second subregion based on the second exposure parameter corresponding to each second subregion;
s4, performing image synthesis processing on the first exposure images corresponding to all the first sub-areas to obtain M frames of first synthesis images; performing image synthesis processing on the second exposure images corresponding to all the second subregions to obtain N frames of second synthesis images;
s5, performing alignment and synthesis processing on the M frames of first synthetic images to generate first images; carrying out high dynamic range image synthesis processing on the N frames of second synthetic images to generate second images; and the first image and the second image are aligned and synthesized to generate a high dynamic range image.
The working principle and the advantages of the invention are as follows: firstly, respectively dividing a first preview image and a second preview image into a first subregion and a second subregion, and acquiring a first exposure parameter of each first subregion and a second exposure parameter of each second subregion; respectively determining a first exposure image corresponding to each first subregion and a second exposure image corresponding to each second subregion according to the first exposure parameter and the second exposure parameter; and carrying out image synthesis processing on the first exposure image and the second exposure image to respectively obtain M frames of first synthesis images and N frames of second synthesis images. Then, carrying out alignment synthesis processing on the M frames of first synthetic images to generate first images, and carrying out high dynamic range image synthesis processing on the N frames of second synthetic images to generate second images; and the first image and the second image are aligned and synthesized to generate a high dynamic range image. By the mode, the requirements of wide dynamic range and high-definition image quality can be met simultaneously, the method is suitable for scenes with different dynamic ranges, and real-time preview of the processing process is realized; compared with the prior art, the high dynamic range image synthesized by adopting the method is clearer and more real, and the shooting effect of the high dynamic range image is effectively improved.
The high dynamic range image synthesized by the method is clearer and more real, the shooting effect of the high dynamic range image is improved, and the technical problem that the prior art cannot adapt to scenes with different dynamic ranges is solved.
Further, S2 specifically includes:
s21, carrying out scene detection on the first preview image to obtain a first scene detection result, and dividing the first preview image into X first sub-areas according to the first scene detection result; performing scene detection on the second preview image to obtain a second scene detection result, and dividing the second preview image into Y second sub-areas according to the second scene detection result;
s22, performing center-weighted photometry on each first sub-area to obtain a first photometry result of each first sub-area, and determining a first exposure parameter of each first sub-area according to the first photometry result of each first sub-area; and performing central emphasis photometry on each second subregion to obtain a second photometry result of each second subregion, and determining a second exposure parameter of each second subregion according to the second photometry result of each second subregion.
Has the advantages that: by the mode, the finer the division of the first sub-area and the second sub-area is, the more beneficial the scene detection is, and therefore the accurate first exposure parameter and the accurate second exposure parameter are obtained.
Further, S3 specifically includes:
s31, performing exposure processing on the first preview image according to the first exposure parameters corresponding to each first sub-area to obtain a first initial exposure image corresponding to each first sub-area; exposing the second preview image according to the second exposure parameter corresponding to each second subregion to obtain a second initial exposure image corresponding to each second subregion;
s32, for each first subregion, determining an image of the same region of the corresponding first initial exposure image as the first exposure image of the first subregion; for each second sub-region, determining an image of the same region in the corresponding second initial exposure image as the second sub-region as a second exposure image of the second sub-region.
Has the advantages that: by the mode, the thinner the first sub-area and the second sub-area are divided, the better the effect of the synthesized first exposure image and the second exposure image is, and the clear and real high dynamic range image can be obtained subsequently.
Further, in S5, performing alignment synthesis processing on the M frames of first synthesized images to generate a first image, specifically including:
determining a first composite image with the maximum definition value from the M frames of first composite images, and taking the first composite image as a first reference image; deleting the first composite image with the definition value lower than a preset threshold value to obtain a first composite image of an R frame;
and performing image alignment processing on the R frame first synthetic image by taking the first reference image as a reference image, and performing image synthesis processing on the first reference image and the R frame first synthetic image after the image alignment processing to generate a first image.
Has the advantages that: through the mode, the first composite image with the definition value lower than the preset threshold value is deleted, the first composite image is screened, and the definition of the generated first image can be improved.
Further, in S5, performing high dynamic range image synthesis processing on the N frames of second synthesized images to generate a second image, specifically including:
extracting characteristic information in each frame of second synthetic image, wherein the characteristic information comprises image edge information, color information, pixel point information of an overexposed region and pixel point information of an underexposed region;
acquiring a first synthetic image as a second reference image, and performing image alignment processing on N frames of second synthetic images by taking the second reference image as a reference image according to the image edge information and the color information;
and filling all pixel points in the same area in the second synthetic image of the underexposed frame into the overexposed area in the second reference image, filling all pixel points in the same area in the second synthetic image of the overexposed frame into the underexposed area in the second reference image, and generating the second image after the filling of the overexposed area and the underexposed area in the second reference image is completed.
Has the advantages that: in such a way, all the pixel points in the same area in the second synthetic image of the underexposed frame are used for filling the overexposed area in the second reference image, and all the pixel points in the same area in the second synthetic image of the overexposed frame are used for filling the underexposed area in the second reference image, so that the dynamic range of the image fused in a high-dynamic-range scene is insufficient, and the overall brightness of the fused image is higher or lower in a low-dynamic-range scene.
Further, in S5, performing alignment and synthesis processing on the first image and the second image to generate a high dynamic range image specifically includes: and performing image alignment processing on the second image by taking the first image as a reference image, and performing image synthesis processing on the first image and the second image after the image alignment processing on a frequency domain and a space domain to generate a high dynamic range image.
Has the advantages that: by the mode, the first image and the second image after the image alignment processing are subjected to image synthesis processing on the frequency domain and the spatial domain, and the generated high-dynamic-range image can adapt to scenes with different dynamic ranges.
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Fig. 1 is a flowchart of an embodiment of a high dynamic range video image acquisition method according to the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example 1
An embodiment is substantially as shown in figure 1, comprising:
s1, obtaining M frames of first preview images collected by a first camera, and obtaining N frames of second preview images collected by a second camera; wherein M, N is an integer greater than 1;
s2, dividing the first preview image into X first sub-areas, and acquiring a first exposure parameter of each first sub-area; dividing the second preview image into Y second subregions, and acquiring a second exposure parameter of each second subregion; wherein X, Y is an integer greater than 1;
s3, determining a first exposure image corresponding to each first sub-area based on the first exposure parameter corresponding to each first sub-area; determining a second exposure image corresponding to each second subregion based on the second exposure parameter corresponding to each second subregion;
s4, performing image synthesis processing on the first exposure images corresponding to all the first sub-areas to obtain M frames of first synthesis images; performing image synthesis processing on the second exposure images corresponding to all the second subregions to obtain N frames of second synthesis images;
s5, performing alignment and synthesis processing on the M frames of first synthetic images to generate first images; carrying out high dynamic range image synthesis processing on the N frames of second synthetic images to generate second images; and the first image and the second image are aligned and synthesized to generate a high dynamic range image.
In this embodiment, the implementation process is applied to a mobile terminal including a first camera and a second camera, for example, a smart phone, a camera, or a tablet computer, and is as follows:
s1, obtaining M frames of first preview images collected by a first camera, and obtaining N frames of second preview images collected by a second camera; wherein M, N is an integer greater than 1. In the present embodiment, the hardware configuration of the first camera and the second camera is the same, for example, the chip, the lens, the motor, and the like are the same.
S2, dividing the first preview image into X first sub-areas, and acquiring a first exposure parameter of each first sub-area; dividing the second preview image into Y second subregions, and acquiring a second exposure parameter of each second subregion; wherein X, Y is an integer greater than 1. Specifically, in this embodiment, the specific steps are as follows: firstly, carrying out scene detection on a first preview image to obtain a first scene detection result, and dividing the first preview image into X first subregions according to the first scene detection result; performing scene detection on the second preview image to obtain a second scene detection result, and dividing the second preview image into Y second sub-areas according to the second scene detection result; then, performing central emphasis photometry on each first subregion to obtain a first photometry result of each first subregion, and determining a first exposure parameter of each first subregion according to the first photometry result of each first subregion; and performing central emphasis photometry on each second subregion to obtain a second photometry result of each second subregion, and determining a second exposure parameter of each second subregion according to the second photometry result of each second subregion. By the mode, the finer the division of the first sub-area and the second sub-area is, the more beneficial the scene detection is, and therefore the accurate first exposure parameter and the accurate second exposure parameter are obtained.
S3, determining a first exposure image corresponding to each first sub-area based on the first exposure parameter corresponding to each first sub-area; and determining a second exposure image corresponding to each second subregion based on the second exposure parameter corresponding to each second subregion.
Specifically, in this embodiment, the specific steps are as follows:
firstly, carrying out exposure processing on a first preview image according to a first exposure parameter corresponding to each first subregion to obtain a first initial exposure image corresponding to each first subregion; exposing the second preview image according to the second exposure parameter corresponding to each second subregion to obtain a second initial exposure image corresponding to each second subregion;
then, for each first subregion, determining an image of the same region as the first subregion in the corresponding first initial exposure image as a first exposure image of the first subregion; for each second sub-region, determining an image of the same region in the corresponding second initial exposure image as the second sub-region as a second exposure image of the second sub-region.
S4, performing image synthesis processing on the first exposure images corresponding to all the first sub-areas to obtain M frames of first synthesis images; and performing image synthesis processing on the second exposure images corresponding to all the second subregions to obtain N frames of second synthesis images.
S5, performing alignment and synthesis processing on the M frames of first synthetic images to generate first images; carrying out high dynamic range image synthesis processing on the N frames of second synthetic images to generate second images; and the first image and the second image are aligned and synthesized to generate a high dynamic range image.
Specifically, in this embodiment, the specific steps are as follows:
first, the first image is generated by performing an alignment synthesis process on the M frames of the first synthesized image. In this embodiment, the specific steps are as follows: the method comprises the following steps that firstly, a first composite image with the maximum definition value is determined from M frames of first composite images and is used as a first reference image; and deleting the first composite image with the definition value lower than the preset threshold value to obtain the R frame first composite image. And secondly, performing image alignment processing on the R frame first synthetic image by taking the first reference image as a reference image, and performing image synthesis processing on the first reference image and the R frame first synthetic image after the image alignment processing to generate a first image.
Then, the second image is generated by performing high dynamic range image synthesis processing on the N frames of second synthesized image. In this embodiment, the specific steps are as follows: and step one, extracting characteristic information in each frame of second composite image, wherein the characteristic information comprises image edge information, color information, pixel point information of an overexposed region and pixel point information of an underexposed region. And secondly, acquiring the first synthetic image as a second reference image, and performing image alignment processing on the N frames of second synthetic images by taking the second reference image as a reference image according to the image edge information and the color information. And thirdly, filling an overexposed region in the second reference image with all pixel points in the same region in the second synthetic image of the underexposed frame, filling the underexposed region in the second reference image with all pixel points in the same region in the second synthetic image of the overexposed frame, and generating the second image after the filling of the overexposed region and the underexposed region in the second reference image is completed.
And finally, carrying out alignment synthesis processing on the first image and the second image to generate a high dynamic range image. In this embodiment, the specific steps are as follows: and performing image alignment processing on the second image by taking the first image as a reference image, and performing image synthesis processing on the first image and the second image after the image alignment processing on a frequency domain and a space domain to generate a high dynamic range image.
Example 2
The only difference from embodiment 1 is that in S1, the step of acquiring M frames of first preview images captured by the first camera is as follows: controlling a first camera to acquire M frames of images with exposure values all being preset automatic exposure values so as to acquire M frames of first preview images, wherein M is more than or equal to 3; the steps of acquiring N frames of second preview images acquired by the second camera are as follows: and controlling a second camera to acquire N frames of preview images with different exposure values, so as to acquire N frames of second preview images, wherein N is more than or equal to 3, and M is equal to N.
Example 3
The difference from embodiment 2 is that, before acquiring a high dynamic range video image in a high temperature environment, such as a furnace or a steelmaking furnace, a high temperature wind tunnel, the first camera acquires M frames of first preview images, and the second camera acquires N frames of second preview images, the ambient temperature and the aperture temperature of the camera are adjusted, and deletion is performed in an intermittent acquisition manner to remove the influence of the environment. Specifically, firstly, the first camera and the second camera are subjected to prepositive judgment to ensure whether the first camera and the second camera are in a normal working state, namely whether the first camera and the second camera are shielded, atomized and poor in heat dissipation is judged, and acquisition is started only when the first camera and the second camera are in the normal working state, namely the first camera and the second camera are not shielded, atomized and poor in heat dissipation; then, if the first camera and the second camera are in a normal working state, gradually adjusting the ambient temperature of the object to be acquired, and gradually adjusting the aperture temperature of the first camera and the second camera, for example, cooling and adjusting the ambient temperature in an equal ratio sequence or an equal difference sequence, if the ambient temperature of the object to be acquired is 1000K, adjusting the ambient temperature in an equal ratio sequence with a proportionality coefficient of 0.9, that is, 1000K, 900K, 810K, 729K ·, or adjusting the aperture temperature of the first camera and the second camera in an equal difference sequence with a proportionality coefficient of 0.9, that is, 1000K, 950K, 900K, 850K ·, and in a similar manner, cooling and adjusting the aperture temperature of the first camera and the second camera; and finally, when the first preview image and the second preview image are acquired, acquiring three or five images every second, and taking the image with the highest definition as the first preview image and the second preview image. By the mode, the ambient temperature and the aperture temperatures of the first camera and the second camera are cooled and adjusted, so that the brightness gradient of the environment where the object to be acquired is located can be reduced, and the influence of high temperature on the definition of the first preview image and the definition of the second preview image is weakened; and selecting the image with the highest definition as the first preview image and the second preview image, deleting the image with low definition, and ensuring that the definition of the acquired first preview image and the definition of the acquired second preview image meet the requirement.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (6)
1. A high dynamic range video image acquisition method is applied to a mobile terminal comprising a first camera and a second camera, and is characterized by comprising the following steps:
s1, obtaining M frames of first preview images collected by a first camera, and obtaining N frames of second preview images collected by a second camera; wherein M, N is an integer greater than 1;
s2, dividing the first preview image into X first sub-areas, and acquiring a first exposure parameter of each first sub-area; dividing the second preview image into Y second subregions, and acquiring a second exposure parameter of each second subregion; wherein X, Y is an integer greater than 1;
s3, determining a first exposure image corresponding to each first sub-area based on the first exposure parameter corresponding to each first sub-area; determining a second exposure image corresponding to each second subregion based on the second exposure parameter corresponding to each second subregion;
s4, performing image synthesis processing on the first exposure images corresponding to all the first sub-areas to obtain M frames of first synthesis images; performing image synthesis processing on the second exposure images corresponding to all the second subregions to obtain N frames of second synthesis images;
s5, performing alignment and synthesis processing on the M frames of first synthetic images to generate first images; carrying out high dynamic range image synthesis processing on the N frames of second synthetic images to generate second images; and the first image and the second image are aligned and synthesized to generate a high dynamic range image.
2. The high dynamic range video image capture method of claim 1, wherein S2 comprises:
s21, carrying out scene detection on the first preview image to obtain a first scene detection result, and dividing the first preview image into X first sub-areas according to the first scene detection result; performing scene detection on the second preview image to obtain a second scene detection result, and dividing the second preview image into Y second sub-areas according to the second scene detection result;
s22, performing center-weighted photometry on each first sub-area to obtain a first photometry result of each first sub-area, and determining a first exposure parameter of each first sub-area according to the first photometry result of each first sub-area; and performing central emphasis photometry on each second subregion to obtain a second photometry result of each second subregion, and determining a second exposure parameter of each second subregion according to the second photometry result of each second subregion.
3. The high dynamic range video image capture method of claim 2, wherein S3 comprises:
s31, performing exposure processing on the first preview image according to the first exposure parameters corresponding to each first sub-area to obtain a first initial exposure image corresponding to each first sub-area; exposing the second preview image according to the second exposure parameter corresponding to each second subregion to obtain a second initial exposure image corresponding to each second subregion;
s32, for each first subregion, determining an image of the same region of the corresponding first initial exposure image as the first exposure image of the first subregion; for each second sub-region, determining an image of the same region in the corresponding second initial exposure image as the second sub-region as a second exposure image of the second sub-region.
4. The method for capturing a high-dynamic-range video image according to claim 3, wherein in S5, performing the alignment synthesis process on the M frames of the first synthesized image to generate the first image specifically includes:
determining a first composite image with the maximum definition value from the M frames of first composite images, and taking the first composite image as a first reference image; deleting the first composite image with the definition value lower than a preset threshold value to obtain a first composite image of an R frame;
and performing image alignment processing on the R frame first synthetic image by taking the first reference image as a reference image, and performing image synthesis processing on the first reference image and the R frame first synthetic image after the image alignment processing to generate a first image.
5. The method for capturing high-dynamic-range video images according to claim 4, wherein in S5, performing high-dynamic-range image synthesis processing on the N frames of second synthesized images to generate second images, specifically comprises:
extracting characteristic information in each frame of second synthetic image, wherein the characteristic information comprises image edge information, color information, pixel point information of an overexposed region and pixel point information of an underexposed region;
acquiring a first synthetic image as a second reference image, and performing image alignment processing on N frames of second synthetic images by taking the second reference image as a reference image according to the image edge information and the color information;
and filling all pixel points in the same area in the second synthetic image of the underexposed frame into the overexposed area in the second reference image, filling all pixel points in the same area in the second synthetic image of the overexposed frame into the underexposed area in the second reference image, and generating the second image after the filling of the overexposed area and the underexposed area in the second reference image is completed.
6. The method for capturing high-dynamic-range video images according to claim 5, wherein in S5, the aligning and combining the first image and the second image to generate the high-dynamic-range image specifically comprises: and performing image alignment processing on the second image by taking the first image as a reference image, and performing image synthesis processing on the first image and the second image after the image alignment processing on a frequency domain and a space domain to generate a high dynamic range image.
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