Deep Jpeg Image Deblocking Using Residual Maxout Units
Alireza Esmaeilzehi, M. Omair Ahmad, M.N.S. Swamy · 2019
Image compression is a field in image processing that tries to remove redundant information in an image. Losing the information in lossy compression techniques such as JPEG results to artifacts in the decompressed image that necessitates the image restoration. In this work, a new image restoration scheme based on deep neural nets and maxout activation functions for the application of image deblocking is proposed. Experimental results are presented to demonstrate the superiority of the proposed method both in terms of subjective and objective metrics.