Information technologies Image Restoration Based on Multi-Wavelet Domain Resolution Analysis

Image restoration is a fundamental means to process the bottom layer of the image for the purpose of improving the visual effect of the original image and the denoising so as to facilitate the subsequent image analysis and pattern recognition. To solve the problem that the degraded image has little information, this paper adopts multi-wavelet resolution to transform the high-frequency and low-frequency information of the decomposed image. After wavelet decomposition is performed in the image, its noises and most details remain in the high-frequency part. On the basis of the extraction of high-frequency detailed information, conduct equant correction of the grayscale range to the histogram equalization to make the processed image more layered and smoother and natural. Besides, the processed image is greatly enhanced in the contrast and definition and no blocking effect ever occurs. Moreover, it can reserve the image detailed information to the utmost extent while weakening blocking effect, reinforces the contrast of the degraded blurry image and realize the purpose of restoration of degraded image.