Review on Digital Image Restoration Methods and Future Directions

The aim of image restoration is to estimate the original image from an observation image degraded by blur and additive noise as much as possible. Different image restoration methods have developed by many researchers. The methods reviewed in this paper are Non Linear Total Variation, PDE noise removal algorithm, Hybrid image restoration and Wavelet Analysis method. These methods having some drawbacks like stair case effect, blocky effect without gradient parameter, proper estimation of PSF, artifacts in the image respectively. The analysis and discussions indicate to that wavelet frame is a new way of solving PDEs in general, which will impart a new insight that will enrich the existing theory and applications of numerical PDEs, as well as, those of wavelet frames to get better results.