Object Elimination and Reconstruction Using an Effective Inpainting Method

Three major problems have been found in the existing algorithms of image inpainting: Reconstruction of large regions, Preference of filling-in and Choice of best exemplars to synthesize the missing region. The proposed algorithm introduces two ideas that deal with these problems preserving edge continuity along with decrease in error propagation. The proposed algorithm introduces a modified priority computation in order to generate better edges in the omitted region and to reduce the transmission of errors in the resultant image a novel way to find optimal exemplar has been proposed. This proposal optimizes the reconstruction process and increases the accuracy. The proposed algorithm removes blurness and builds edges efficiently while reconstructing large target region.