A Survey on Sparse Representation based Image Restoration

In recent field of engineering, digital images gaining popularity due to increasing requirement in many fields like satellite imaging, medical imaging, astronomical imaging, poor-quality family portraits etc. Therefore, the quality of images matters in such fields. There are many ways by which the quality of images can be improved. Image restoration is one of the emerging methodologies among various existing techniques. Image restoration is a process that deals with methods used to recover an original scene from degraded observations. The primary goal of the image restoration is the original image is recovered from degraded or blurred image. The main aim of this survey is to represent different methodologies of restoration that provide state-of-the-art results. The motivation of the literature originates from filter concept, iterative methods and sparse representations. The restoration methods of filter concepts are evaluated with the help of performance metrics SNR (signal-to-noise-ratio). These ideas can be used as a good reference in the research field of image restoration