Exposure Image Correction Based on Fuzzy Theory

Abstract

In order to improve the visual quality of the original image, an image fusion and enhancement technology based on fuzzy theory is proposed in this paper. For the overexposed image, the corresponding membership function is designed to realize the fuzzy domain transformation of the original image, remove the noise and strong light interference of the original image and retain the details for the subsequent enhancement of the image contrast. The image fusion algorithm based on Laplace pyramid effectively combines the salient features of the blurred image and can provide high-quality spectral content. After verification, the image obtained by our method is better than the original image, Gamma correction image and histogram equalization image in visual effect, and the image processed by our method has higher definition, information entropy and peak signal-to-noise ratio, which verifies the superiority of our method.