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DOI: 10.14569/IJACSA.2019.0100655
PDF

A New Image Inpainting Approach based on Criminisi Algorithm

Author 1: Nouho Ouattara
Author 2: Georges Laussane Loum
Author 3: Ghislain Koffi Pandry
Author 4: Armand Kodjo Atiampo

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 6, 2019.

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Abstract: In patch-based inpainting methods, the order of filling the areas to be restored is very important. This filling order is defined by a priority function that integrates two parameters: confidence term and data term. The priority, as initially defined, is negatively affected by the mutual influence of confidence and data terms. In addition, the rapid decrease to zero of confidence term leads the numerical instability of algorithms. Finally, the data term depends only on the central pixel of the patch, without taking into account the influence of neighboring pixels. Our aim in this paper is to propose an algorithm to solve the problems mentioned above. This algorithm is based on a new definition of the priority function, a calculation of the average data term obtained from the elementary data terms in a patch and an update of the confidence term slowing its decrease and avoiding convergence to zero. We evaluated our method by comparing it with algorithms in the literature. The results show that our method provides better results both visually and in terms of the Peak Signal-to-Noise Ratio (PSNR) and Structural SIMilarity index (SSIM).

Keywords: Image inpainting; Criminisi algorithm; priority function; data term; confidence term; identity function

Nouho Ouattara, Georges Laussane Loum, Ghislain Koffi Pandry and Armand Kodjo Atiampo, “A New Image Inpainting Approach based on Criminisi Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 10(6), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100655

@article{Ouattara2019,
title = {A New Image Inpainting Approach based on Criminisi Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100655},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100655},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {6},
author = {Nouho Ouattara and Georges Laussane Loum and Ghislain Koffi Pandry and Armand Kodjo Atiampo}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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