Improvement of Exemplar Based Inpainting by Enhancement of Patch Prior
Rasmita Lenka, Koustav Dutta, Sanjaya Kumar Sarangi, Srinivas Ramavath · 2023
Image Inpainting is the technique of filling out a photo with missing details. The purpose of inpainting is to visualize the realistic reconstruction of lost areas in a way that looks to the human eye natural. We present a novel algorithm in this paper that strengthens, enlarges, and fasters to the previous approach algorithm. A post-processing of the inpainted image is done by enhancement to get better quality of the picture. An exemplar-based approach for image inpainting is applied where Pixel values are copied from the source region and pasted to the target region after the best matching patch for the target region in the picture has been found. The choices of various patch matching criteria, patch size, and filling sequence significantly impact the outcomes. We dynamically choose the source and destination patch sizes. To preserve the consistency of the structures and textures, we search for several source patches globally using the angle-aware rotation technique rather than only choosing one. We have easily produced high-quality results. Our solution. can be prevented somewhat and restoration of the effect of improved inpainting process