Image in Painting: Structural Similarity Index Exemplar-based Method and Sr Algorithm

Image in painting is a method to reinstate a damaged portion of image. This technique has found extensive use in application such as restoration, object removal, scratch removal, error recovery, multimedia editing, and video privacy protection. This restoration can be made by using two approaches, image in painting and texture synthesis. Most usual techniques are computationally exhaustive and unable to repair large holes. Existing methods use diffusion-based approaches where linear structures propagate through diffusion based on partial differential equations and variational methods but these were more complex, time consuming and difficult to fill large holes. To overcome the above problem, the method proposed in this paper use Exemplar based technique and Structural Similarity index measurement method. KEYWORDS-Image in painting, Texture synthesis, Diffusion based method, Exemplar based technique, Structural Similarity index measurement.