The Improved Algorithm Of Image Enhancement Based on Optical Fourier Transformation

Abstract

Image enhancement is an important part of image information processing, image manipulation enhanced algorithm plays an important role in improving image quality, it involves all aspects of human life and social production. Because of the conditions of the scene, the visual effects and quality of images are often unable to meet the requirements, their quality is poor, this requires image enhancement technology to improve human visual effect, improve image quality. Compared with the deep learning method of big data, the traditional image manipulation enhanced algorithm does not need a larger number of learning samples, and has a small amount of calculation and fast processing speed, and is still the main way of image manipulation enhanced algorithm at present. This essay takes optical processing as a breakthrough point, the image manipulation enhanced algorithm is improved based on the principle of Abbe's image, and the High frequency image signal is enhanced by Unsharp Masking, the low frequency images are enhanced by Contrast Limited Adaptive Histogram Equalization. Finally, the high frequency and low frequency images are fused by weighted wavelet to achieve multi-dimensional enhancement of the image, obtain more detailed information of the image, and improve the image quality significantly.