Abstract
The image in-painting is the method of improving or enhancing the damaged and the missing parts of the images. This process would be very essential preprocessing procedure in case of the medical image analysis for the diagnosis of the disease. The traditional ways of in-painting being ineffective the paper proposes hybrid image in-painting technique combining the edge connect, patch match and the deep image prior for the images to improve the quality and the resolution of the images, the proposed method is tested with different number of images from the gathered form the website to prove the competence of the proposed image in-painting technique.
Publisher
Inventive Research Organization
Reference19 articles.
1. [1] Bertalmio, Marcelo, Guillermo Sapiro, Vincent Caselles, and Coloma Ballester. "Image inpainting." In Proceedings of the 27th annual conference on Computer graphics and interactive techniques, pp. 417-424. ACM Press/Addison-Wesley Publishing Co., 2000.
2. [2] Richard, Manuel M. Oliveira Brian Bowen, and McKenna Yu-Sung Chang. "Fast digital image inpainting." In Appeared in the Proceedings of the International Conference on Visualization, Imaging and Image Processing (VIIP 2001), Marbella, Spain, pp. 106-107. 2001.
3. [3] Bertalmio, Marcelo, Luminita Vese, Guillermo Sapiro, and Stanley Osher. "Simultaneous structure and texture image inpainting." IEEE transactions on image processing 12, no. 8 (2003): 882-889.
4. [4] Yamauchi, Hitoshi, Jörg Haber, and H-P. Seidel. "Image restoration using multiresolution texture synthesis and image inpainting." In Proceedings Computer Graphics International 2003, pp. 120-125. IEEE, 2003.
5. [5] Criminisi, Antonio, Patrick Pérez, and Kentaro Toyama. "Region filling and object removal by exemplar-based image inpainting." IEEE Transactions on image processing 13, no. 9 (2004): 1200-1212.
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