A Method for Objective Evaluation of Color Correction Consistent with Subjective Perception

Abstract

The invention relates to a color correction objective assessment method consistent with subjective perception. The method comprises the following steps: Step S1, reading a reference image and a target image and generating a matched image by a scenario mapping algorithm to be used as a new reference image; Step S2, assessing the target image by a contrast similarity assessment method to obtain a contrast similarity assessment result CS; Step S3, assessing the target image by a pixel-value difference assessment method based on average value to obtain a difference value assessment result DV1; Step S4, assessing the target image by a pixel-value difference assessment method of maximum difference fusion to obtain a difference value assessment result DV2; and Step S5, fusing the assessment results CS, DV1 and DV2 by a linear fusion model to obtain a final objective assessment score value V. The method can effectively assess color consistency between images, has good correlation with subjective scoring of users and has accuracy, and can be applied in the field of image mosaic and left and right view colors consistency assessment of three-dimensional images.

Description

technical field [0001] The invention relates to the fields of image and video processing and computer vision, in particular to an objective evaluation method of color correction consistent with subjective perception in image quality evaluation. Background technique [0002] The color correction algorithm uses the source image to correct the color of the target image with color differences, so that the color characteristics of the target image are as consistent as possible with the source image. Ensuring color consistency between images is of great significance in multi-view image / video stitching and reducing visual fatigue caused by color differences between left and right views of 3D images. At present, many color correction algorithms have been proposed, but there are few studies on the evaluation methods of color correction results. Xu et al. proposed an evaluation method based on color similarity and structural similarity. This method is mainly oriented to image and vid...

AI Technical Summary

Problems solved by technology

[0006] In view of this, the purpose of the present invention is to provide an objective evaluation method of color correction consistent with subjective perception, which introduces human visual features when evaluating image quality, and simultaneously solves the evaluation of scene similarity between images through a scene mapping algorithm question

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