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Method for acquiring color image with best quality
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A color image, the best technology, applied in the field of image processing, can solve the problems of not seeing the best quality image, not getting the best quality color image, and not seeing how good the quality of the evaluation image is.
Inactive Publication Date: 2011-05-04
CHONGQING MEDICAL UNIVERSITY
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Many methods have been proposed, such as histogramequalization, contrast stretching, etc., but there are no reports on the evaluation of the degree of image quality improvement, and there are no literature reports on the conditions under which the best quality images can be obtained. There are no reports of how to get the best quality color images
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Embodiment 1
[0062] like figure 1 Shown: A method to obtain the best quality color image, follow the steps below:
[0063] (1) Select the color image as the source image, and obtain the chrominance values R(x, y), G(x, y), and B(x, y) of the red, green, and blue components of each pixel of the source image , and calculate the brightness value Gray(x, y) of the source image, and search for the maximum brightness value and the minimum brightness value of the source image;
[0064] According to the chrominance values of the red, green and blue components of the source image pixel (x, y), the brightness value Gray (x, y) is calculated using the normalized weighted sum method:
[0065] Gray(x,y)=0.3R(x,y)+0.59G(x,y)+0.11B(x,y)
[0066] (2) Establish the color image quality evaluation function NCAF, the formula used is:
[0067] NCAF=InEn C ×AC C ×NGD
[0068] Among them, InEn C Indicates the overall information entropy of the image, AC C Represents the overall average contrast of th...
Embodiment 2
[0115] This embodiment is roughly the same as Embodiment 1, except that the average brightness value AG of the source image in this embodiment 0 =140.1835>127.5, so the initial chroma value Theta of the converted red, green, and blue components takes the maximum luminance value of the source image. According to the calculation, the maximum luminance value of the source image is 221, and the chroma initial value Theta is taken =221. In order to speed up the conversion, according to experience, the starting value of the chroma level Delta is AG 0 / 1.7=82.4609, 82 after rounding.
[0116] Table 2 is the overall information entropy InEn of the image during the change process of the chroma level Delta C , the average image contrast AC C , image average brightness value AG, and color image quality evaluation function NCAF value change data with Delta.
[0117] It can be seen from Table 2 that with the increase of Delta, when Delta=158, the obtained NCAF value is the largest, and...
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Abstract
The invention discloses a generation method for acquiring a color image with best quality, which is conducted by following steps: selecting the color image as a source image, acquiring colorimetric values of three components of red, green and blue of each pixel point, and searching the maximum brightness value and the minimum brightness value of the source value; establishing a quality evaluationfunction NCAF of the color image; utilizing a Zadeh-X conversion method to conduct Zadeh-X conversion on the source image, calculating the general entropy of information, the general average contrastratio and the normalization brightness difference of an conversion image so as to obtaining the value of the quality evaluation function NCAF of the color image, corresponding to the conversion image; and determining the Delta value corresponding to the maximum value of the NCAF, and according to the value and the brightness initial value Theta, utilizing the Zadeh-X conversion method to conduct Zadeh-X conversion on the source image, wherein the conversion image is the image with the best quality. The mehod can acquire the color image with the best quality and the result is in line with the subjective cognition of human vision.
Description
technical field [0001] The invention relates to the field of image processing, in particular, a method for obtaining color images with the best quality. Background technique [0002] The imaging effect of an imaging device is affected by many factors, such as the performance of the imaging device itself, lighting conditions, and operator skills. In many cases, the image quality obtained by the imaging device is not very good, and the image quality needs to be improved. Therefore, how to improve the image quality has become an important issue in the field of image processing. [0003] Image (quality) enhancement is an important issue in the field of image processing. Many methods have been proposed, such as histogramequalization, contrast stretching, etc., but there are no reports on the evaluation of the degree of image quality improvement, and there are no literature reports on the conditions under which the best quality images can be obtained. There are no reports on ho...
Claims
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