International Journal of Advanced Computer Science and Applications, 2019
In patch-based inpainting methods, the order of filling the areas to be restored is very importan... more 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).
Modelling, Simulation and Identification / 858: Intelligent Systems and Control, 2018
In many applications, the specular highlight presence is disruptive information. Its removal stro... more In many applications, the specular highlight presence is disruptive information. Its removal strongly depends on the effectiveness of its detection. In this paper, we propose a new method for detecting specular highlight. This method is generic and is based on automatic thresholding. The determination of the threshold is done algorithmically. It is based on the exploitation of the L* component of the CIELab colour space and the exponential function. The exponential function creates a gap between the brightest pixels and the other pixels. The experimental results show the effectiveness of our detection method on images of different nature.
International Journal of Advanced Computer Science and Applications, 2019
In patch-based inpainting methods, the order of filling the areas to be restored is very importan... more 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).
Modelling, Simulation and Identification / 858: Intelligent Systems and Control, 2018
In many applications, the specular highlight presence is disruptive information. Its removal stro... more In many applications, the specular highlight presence is disruptive information. Its removal strongly depends on the effectiveness of its detection. In this paper, we propose a new method for detecting specular highlight. This method is generic and is based on automatic thresholding. The determination of the threshold is done algorithmically. It is based on the exploitation of the L* component of the CIELab colour space and the exponential function. The exponential function creates a gap between the brightest pixels and the other pixels. The experimental results show the effectiveness of our detection method on images of different nature.
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Papers by nouho Ouattara