Main Article Content
This paper aims at developing accelerated exemplary inpaint method. The feature set is considered to be the pixels along with their 8-neighbors. A Multi Phase Search Space Reduction framework namely Systematic Reduction of Information System (SRIS) is employed. SRIS, basically is a roughest based approach which imputes the missing values in an adaptive manner. In this approach the order of inpainting pixels is determined by a simple but effective priority term. The best exemplar is determined based on a similarity metric which is derived by element wise difference of informative pixels of inpaint window and the corresponding pixels of the source region window.
How to Cite
, R. M. (2018). Search Space Reduction in Exemplar Based Image Inpainting. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(1), 252–254. Retrieved from https://ijfrcsce.org/index.php/ijfrcsce/article/view/1001