Papers by Vahid K. Alilou
Reconstruction of images by digital inpainting is an active field of research and such algorithms... more Reconstruction of images by digital inpainting is an active field of research and such algorithms are, in fact, now widely used. In conventional methods, a texture synthesis algorithm is used for filling the unknown regions of the image. However, due to the lack of global analysis on the image, the result may contain undesirable artifacts especially when we have images with relatively large missing regions. Here we propose a new inpainting technique to overcome this limitation by using an approximation matrix. The basic idea is to first make an approximation matrix using singular value decomposition, and then reconstruct the target region by using this matrix. Approximation matrix here, is in fact a gray-scale copy of the original image in which the target region is approximated throughout the process of rank lowering. Experiments are performed on a variety of input images ranging from purely synthetic images to full-color photographs. The results demonstrate the effectiveness of the proposed approach.
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Inpainting is the process of reconstructing damaged parts of an image in a visually plausible way... more Inpainting is the process of reconstructing damaged parts of an image in a visually plausible way. Recently, digital image inpainting has been an active field of research in the area of image processing. Meanwhile, exemplar-based methods have had a major contribution in developing this field of research. The main idea in these methods is based on copy-and-paste texture synthesis. The time-complexity of these methods are rather high. So, many different approaches were introduced to tackle this problem. This paper presents a new algorithm for reconstructing missing parts of an image based on exemplar-matching techniques in which both performance and speed of the algorithm increases. Experimental results confirm the effectiveness of the proposed method.
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Inspired by the connectivity principle of human visual perception, a new inpainting approach base... more Inspired by the connectivity principle of human visual perception, a new inpainting approach based on GRNN neural network is proposed in this paper. The missing regions in this new technique are determined by performing regression analysis on the image data. The missing regions are first separated and sorted according to their size. Then the algorithm proceeds with applying a GRNN network to each one in order to repair their damaged pixels. Simplicity and efficiency are the main advantages of the proposed approach. The performance of the proposed approach is evaluated in three application contexts: text removal, scratch removal, and noise removal. Where possible, we used objective measures (e.g., PSNR) to evaluate the visual quality of the inpainted images. The results demonstrate the effectiveness of the proposed approach.
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Papers by Vahid K. Alilou