2024-04-30
2024-06-28
2024-06-06
Manuscript received December 1, 2023; revised February 28, 2024; accepted April 28, 2024; published October 8, 2024
Abstract—Research in the field of Inpainting and Region filling has nowadays gained immense momentum to account for historical and ancient mural conservation and the technological advancements as regards the need for image processing applications. This work proposes a complete Composite Patch Sampling Scheme (CCPSS) incorporating four refinements over Criminisi and other state-of-the-art techniques. The earlier Criminisi patch matching approach is supported by adding alien patches generated from independent color components of the existing known or valid patches. The dependency of confidence and data terms used in the priority function had been removed by selecting unknown pixels based on their neighborhood unknowns. The proceeding estimated unknown pixel patches are considered in estimating successive invalid pixel patches. Lastly, the highest similar or consistent known patch concerning an unknown patch is not finalized but retained until all the unknown patches are estimated. The true value of any unknown pixel is computed using the mean and median of all retained values. The inpainting, region filling, and reconstruction quality of the CCPSS scheme is superior in terms of visual perception when tested over high-resolution texture-structure images at the cost of computational overhead. Keywords—inpainting, region filling, complete-composite patch matching, Composite Patch Sampling Scheme (CCPSS), patch matching, texture-structure Cite: Sujata G. Bhele, Shashank Shriramwar, and Poonam T. Agarkar, "Quality Inpainting and Region Filling Using a Complete-Composite Patch Sampling Scheme (CCPSS) Based on Statistical Estimation," Journal of Image and Graphics, Vol. 12, No. 4, pp. 320-331, 2024. Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.