An Enhancement Method of Low-Contrast Chromatic Image Based on Adaptive Threshold

The study used the image enhancement algorithm of histogram compaction equalization based on adaptive thresholds to extend the tonal range of low-contrast chromatic image. The algorithm chooses the thresholds adaptively to achieve the purpose of enhancing the image contrast, details, and sharpness of the low-contrast chromatic image according to its information characteristics of R, G, and B channel. Experimental results show that the algorithm can effectively improve the contrast and sharpness of low-contrast chromatic images, and well preserve the color appearance of the image compared to the traditional histogram equalization image enhancement method and the wavelet-based image enhancement method. The proposed method has good application value.