Image quality evaluation method based on log Gabor filter phase similarity

Abstract

The invention provides an image quality evaluation method based on log Gabor filter phase similarity. According to the method, first, 18 pairs of log Gabor filters are adopted to make a similarity comparison between an original image and a to-be-detected image, then, phase information is extracted; and finally, the quality of the to-be-detected image is obtained by comparing the average cross correlation of phase diagrams of the two images. The method of the invention has the advantages of high accuracy, low complexity, and high processing speed.

Description

technical field [0001] The invention relates to an image processing method, in particular to an image quality evaluation method based on logarithmic Gabor filter phase similarity. Background technique [0002] Image quality evaluation plays an extremely important role in the field of image processing, and it is widely used in other image processing methods to improve the performance of other methods. For example, image quality evaluation plays a vital role in image enhancement, image denoising, and many other methods. [0003] Commonly used image quality evaluation methods include subjective test method MOS (mean opinion score) and objective test method PSNR (peak signal noise ratio). The subjective test method has obvious shortcomings, because the subjective test method consumes more manpower and material resources than the objective test method, and it is difficult to apply it to other image processing methods. Since the recipient of the image information is a human bein...

AI Technical Summary

Problems solved by technology

[0006] Although it has been generally believed that phase information contains a lot of information for a long time, few image quality evaluation methods use phase information

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