An Adaptive method for Image Restoration: Image DE nosing, DE Blurring and Super Resolution using Sparse Representation
Noise suppression from image is a still a big challenging problem for researchers. Image may be corrupted during the transmission or storage time, so removing the noise from the processed image and should preserve the important information. In this paper image patch is representing as sparse code. We are selecting the sparse code from the complete dictionary which is linear group of few atoms. By the addition of sparse coding noise to image we can enhance the performance of sparse representation. Here by restoring the image reducing the sparse coding noise in this paper we are adopting the method of adding the sparse coding noise. For getting of high resolution output the sparse coding noise should be least amount with high PSNR.
This Article is Research By Shadana Abdul Rahman, Jithendra N K and published by IJSTE JOURNAL
