Digital Image Inpainting Using Bilateral Filtering
Publish place: The first international conference of modern research engineers in electricity and computer
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CBCONF01_0279
تاریخ نمایه سازی: 16 شهریور 1395
Abstract:
Digital image inpainting refers to the act of repairing damaged parts of an image using its known parts. Exemplar-based inpainting algorithms propagate both image structures and texture. Image structures have an intense impact on ipainting process. Therefore, it is important to detect image structures accurately. The concept of Isophote has been introduced in order to detect the image structures. However, Isophotes of an image have been only referred to its simple edges up to now and for detecting the image structures just a simple gradient function has been used in previous works. It should be noted that it is not necessary for all of the image edges to participate in the inpainting process. Because some of the image edges can mislead the inpainting process. To tackle this problem in this paper a new inpainting algorithm focusing on the linear structures of the image has been introduced. The proposed method is an exemplar-based algorithm based on Criminisi’s work. A Bilateral Filter is a smoothing filter, which preserves main image edges and removes excess edges. In this paper input images have been smoothened by using Bilateral Filtering. Then, the smoothened image has been transformed from RGB color space to YCbCr color space. Afterwards, Isophotes of the image have been extracted by using an edge detector on the Y channel of the smoothened image. The experimental results of the proposed method illustrate that the proposed algorithm preserves fundamental linear structures of the image and the inpainting quality has been significantly improved.
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Authors
Peyman Mahdavi
M.S. Student of Electrical and Computer engineering department Semnan University Semnan, Iran
Farzin Yaghmaee
Faculty Member of Electrical and Computer engineering faculty Semnan University Semnan, Iran
Vahid K Alilou
PhD. Candidate of Electrical and Computer engineering department Semnan University Semnan, Iran
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