Complementary color wavelet color image processing method
A color image, processing method technology, applied in image data processing, image enhancement, image analysis and other directions
Active Publication Date: 2017-03-22
FUDAN UNIV
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[0007] The purpose of the present invention is to provide a color image processing wavelet analysis method based on the complementary color theory of the human visual system to overcome the deficiencies of the existing color image processing methods
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[0116] 1. Design and construction of one-dimensional complementary color wavelet
[0117] In order to effectively apply one-dimensional complementary color wavelet, three sets of real discrete wavelets are usually used to generate three phase components. Each group of discrete wavelets uses a set of low-pass and high-pass filters and corresponding reconstruction filter banks satisfying the conjugate quadrature filter (CQF) and perfectly reconstructed (PR) conditions. [23] . The low-pass analysis filter obtained in the summary of the invention After that, the corresponding decomposed high-pass filter is obtained through the CQF condition And the corresponding reconstructed low-pass filter and high-pass filter are obtained through the PR condition of wavelet:
[0118]
[0119]
[0120] Then, the coefficients of each wavelet subband are obtained by pyramidal fast decomposition. One-dimensional complementary color wavelet analysis and synthesis filter bank and its proc...
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The invention belongs to the field of color picture signal processing technology, and particularly to a complementary color wavelet color image processing method. According to the complementary color wavelet color image processing method, a sets of wavelets which are applied on an R channel, a G channel and a B channel of an image and have phases of 0, 2pi / 3 and 4pi / 3 are designed according to a color relation which is defined by a complementary color theory in visual physiology; designed complementary color decomposition processing is performed on an image for obtaining four complementary color relation coefficient sub-bands of red-green, green-pinkish-red, blue-yellow and black-white; and each complementary color relation coefficient sub-band comprises characteristic coefficients in eight directions of npi / 8, n=0,1,....,7. After spatial domain analysis is performed on the characteristic coefficients, the characteristic coefficients are applied on directional color filtering and reinforcing of a color image. After statistical modeling is performed on the characteristic coefficients, the characteristic coefficients are applied on color image channel statistical modeling and pattern searching. Compared with the prior art, the complementary color wavelet color image processing method has advantages of realizing color filtering and reinforcing which are difficultly realized through a traditional method, and supplying more accurate image wavelet statistical modeling, thereby greatly improving color image pattern searching success rate.
Description
technical field [0001] The invention belongs to the technical field of color image signal processing, and in particular relates to a color image processing method. Background technique [0002] In the past few decades, the mainstream image processing methods are all for grayscale images. When people process color images, they usually treat the three color channels of the image as grayscale images, and add the processing results of each channel as the result of color image processing. The grayscale image processing method used to process each color channel ignores the relationship between each color channel [1][2] , it is easy to cause problems such as edge distortion and color distortion [3][4][5] . [0003] In the field of modern image processing, the wavelet method has an irreplaceable position due to its advantages of time-frequency multi-scale analysis, low computational complexity, and flexible post-processing. However, most wavelet image processing methods are also...
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Login to View More IPC IPC(8): G06T7/90
CPCG06T2207/10024G06T2207/20064
Inventor 陈扬张建秋
Owner FUDAN UNIV