Self-adaptive exposure adjustment multi-scale entropy fusion underwater image enhancement method

Abstract

The invention discloses a self-adaptive exposure adjustment multi-scale entropy fusion underwater image enhancement method, which comprises the steps of applying generalized bounded logarithm additionor subtraction operation to an original underwater image to derive derivative images with different exposures; calculating multi-scale Gaussian pyramid images with different exposure quantities and multi-scale Laplace pyramid images with different exposure quantities; calculating multi-scale Gaussian pyramid weight images with different exposures; obtaining a normalized multi-scale Gaussian pyramid weight iteration image with different exposure quantities; obtaining a multi-scale pyramid fusion image; obtaining a pyramid fusion image; and obtaining an enhanced image based on rich gradient information of the pyramid fusion image. According to the method, the underwater image is enhanced, so that the contrast and saturation of the enhanced image can be well considered, image details are richer and clearer, and the contrast, information entropy, color information and the like of the whole image can be further improved.

Description

technical field [0001] The invention belongs to the field of image information processing, and in particular relates to an underwater image enhancement method for adaptive exposure adjustment and multi-scale entropy fusion. Background technique [0002] Underwater target detection images often have special conditions such as non-uniform brightness, low signal-to-noise ratio, and low contrast, which lead to serious degradation of underwater images. Image enhancement is an effective method to process the original image, improve the display effect of the image, and convert it into a more suitable image analysis and processing method. During the shooting process of the original underwater image, due to factors such as background light or camera parameter settings, the image may be overexposed or underexposed. When overexposed, the negative will appear too dark and the developed print will appear whitish. In the case of underexposure, the brightness of the light felt on the pho...

AI Technical Summary

Problems solved by technology

However, in the actual imaging process, it is difficult to take into account objects with different light and shade at the same time, which eventually leads to the failure of image saturation and contrast to meet the requirements at the same time, and the quality of the original image is seriously degraded.

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