A color image quantization method based on ca-spcnn algorithm
A technology of color image and quantization method, which is applied in the field of image processing to achieve the effects of data storage space balance, simplified operation steps and low distortion rate.
Active Publication Date: 2022-05-03
LANZHOU JIAOTONG UNIV
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[0007] The purpose of the present invention is to solve the above-mentioned problems in the existing technology, and proposes a color image quantization method based on the CA-SPCNN algorithm. , how to reduce computational complexity and information distortion rate, and handle the balance between visual effects and data storage space
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[0059] The technical solution of this patent will be further described in detail below in conjunction with specific embodiments.
[0060] Embodiments of the present patent are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are only used for explaining the patent, and should not be construed as limiting the patent.
[0061] see figure 1 , the present embodiment provides a color image quantization method based on the CA-SPCNN algorithm, the color image quantization method includes three steps of color image quantization pre-processing, color image quantization processing and color image quantization post-processing, the color image quantization In the preprocessing step, the normalized image processing method is first used to redete...
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The invention provides a color image quantization method based on the CA-SPCNN algorithm, which belongs to the technical field of image processing, and is used to solve the problem of how to reduce computational complexity and information distortion rate while increasing the number of quantization layers and improving image richness. Handle the technical issues of balance between visual effects and data storage space. The present invention includes three steps of color image quantization preprocessing, quantization processing and quantization post-processing, the original image is processed into a normalized image of three channels of red, green and blue, and the image is quantized by the CA-SPCNN algorithm. The post-quantization processing algorithm obtains the quantized images of the three channels, and combines them to obtain the final quantized image. The present invention improves on the basis of the CA-SPCNN algorithm, realizes the quantitative processing of color images, simplifies the operation steps, reduces the computational complexity, and under the premise of ensuring a lower distortion rate and a higher quantization accuracy rate, the visual effect of the color image is good , reducing the occupied data storage space.
Description
technical field [0001] The invention belongs to the technical field of image processing, and relates to an image quantization method, in particular to a color image quantization method based on a CA-SPCNN algorithm. Background technique [0002] Color image quantization refers to replacing an image with N colors with less than N colors, and making the replaced image as close as possible to the original image, which is one of the basic techniques of color image processing. Image color, that is, the more layers of quantization, the richer the image layers, and the higher the grayscale resolution, which can produce more detailed image effects, but it will also occupy a larger storage space. vice versa. The basic problem of color image quantization is to deal with the balance between visual effect and data storage space. [0003] Due to the redundancy of image data, including the spatial redundancy caused by the correlation between adjacent pixels, the temporal redundancy caus...
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IPC IPC(8): G06T7/90G06N3/06
CPCG06T7/90G06N3/061
Inventor 廉敬杨臻孙文灏刘冀钊漆云亮马义德
Owner LANZHOU JIAOTONG UNIV