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Color image quality evaluation method based on gradient

A color image and quality evaluation technology, applied in the field of image processing, can solve the problems of poor color distortion evaluation effect of color images and other problems

Inactive Publication Date: 2016-08-10
XIDIAN UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the color distortion evaluation effect of the color image is not good in the current image quality evaluation method, and propose a color image quality evaluation method based on the gradient, so as to evaluate the quality of the color image more effectively and accurately , to meet the needs of more color images

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  • Color image quality evaluation method based on gradient
  • Color image quality evaluation method based on gradient
  • Color image quality evaluation method based on gradient

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Embodiment Construction

[0034] refer to figure 1 , the implementation steps of the present invention are as follows:

[0035] Step 1. Use the S-CIELAB color appearance model to perform color perception transformation on the image.

[0036] The perception of color by the human visual system will vary with environmental factors such as lighting conditions, observation distance, and observation equipment. If two identical colors are placed under different viewing conditions, the human visual system will perceive the two colors differently. Therefore, before processing the color image, it is necessary to perform perceptual transformation on the original image and the distorted image to eliminate the influence of different observation conditions on color perception.

[0037] In this example, the S-CIELAB color appearance model is selected, and the original image and the distorted image are transformed into the LAB2000HL space. The result calculated by the color difference formula in this space matches t...

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Abstract

The invention discloses a color image quality evaluation method based on gradient, wherein the color image quality evaluation method mainly settles a problem of low color distortion effect on the color images in a current image quality evaluation method. The color image quality evaluation method comprises the steps of 1), performing color perception change on an original image and a distortion image by means of an S-CIELAB color appearance model, and respectively decomposing the two images to a brightness channel and two chroma channels; 2), performing gradient calculation on each channel by means of linear convolution filtering, obtaining the brightness edges and the chroma edges of the original image and the distortion image; 3), calculating the brightness edge difference and the chroma edge brightness between the original image and the distortion image; and 4) performing linear fusion on the brightness edge difference and the chroma edge difference, thereby obtaining a final quality evaluation value CGBM. The color image quality evaluation method can be used for performing image evaluation on the color image more effectively and more accurately and can be used for processing the color image in color image compression, storage and transmission.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a method for evaluating the quality of a color image, which can be used for color image processing in the process of color image compression, storage and transmission. Background technique [0002] With the rapid development of color imaging technology, color digital images have been widely used in the field of data visualization. Compared with grayscale images, color images contain a higher level of information, which can truly and vividly describe the objective world. However, when digitally processing color images, such as information collection, transformation processing, compression storage, channel transmission, terminal display, etc., some distortion will inevitably be introduced, resulting in distortion or loss of color information in the image. The quality of color images is degraded to varying degrees. Degradation will lead to the phenomenon of mixed colors b...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/40
CPCG06T7/0002G06T2207/10024G06T2207/30168
Inventor 路文吝冰杰许天骄孙互兴何立火邓成王颖王斌
Owner XIDIAN UNIV
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