Repairing and Inpainting Damaged Images using Diffusion Tensor
Removing or repairing the imperfections of a digital images or videos is a very active and attractive field of research belonging to the image inpainting technique. This later has a wide range of applications, such as removing scratches in old photographic image, removing text and logos or creating cartoon and artistic effects. In this paper, we propose an efficient method to repair a damaged image based on a non linear diffusion tensor. The idea is to track perfectly the local geometry of the damaged image and allowing diffusion only in the isophotes curves direction. To illustrate the effective performance of our method, we present some experimental results on test and real photographic color images.
Keywords: Image restoration, Image Inpainting, Isophotes, PDEs, Diffusion tensor.
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ABOUT THE AUTHORS
Faouzi Benzarti
Faouzi Benzarti: is an associate professor at the High School of Technology and Science of Tunisia (ESSTT). He received his Engineer’s degree in Electrical Engineering from the Engineering School of Monastir (TUNISIA) in 1987, and his master’s degree in Biomedical Engineering from the Polytechnic School of Montreal CANADA in 1991. He obtained his Ph.D degree from the Engineering School of Tunis (ENIT) in 2006. He is a member of research group in the Signal, Image and Pattern Recognition Laboratory TSRIF. His current researches include: Image Deconvolution, Image Inpainting, Anisotropic diffusion, Image retrieval, 3D Biometry.
Hamid Amiri
Hamid Amiri is a Professor at the National Engineering School of Tunis (ENIT) Tunisia. He received the Diploma of Electro-technics, Information Technique in 1978 and the PHD degree in1983 at the TU Braunschweig, Germany. He obtained the Doctorates Sciences in 1993. From 2001 to 2009 he was at the Riyadh College of Telecom and Information. Currently. He is now thea head member of research group in the Signal, Image and Pattern Recognition Laboratory. His research is focused on Image Processing, Speech Processing, Document Processing and Natural language processing.
Faouzi Benzarti
Faouzi Benzarti: is an associate professor at the High School of Technology and Science of Tunisia (ESSTT). He received his Engineer’s degree in Electrical Engineering from the Engineering School of Monastir (TUNISIA) in 1987, and his master’s degree in Biomedical Engineering from the Polytechnic School of Montreal CANADA in 1991. He obtained his Ph.D degree from the Engineering School of Tunis (ENIT) in 2006. He is a member of research group in the Signal, Image and Pattern Recognition Laboratory TSRIF. His current researches include: Image Deconvolution, Image Inpainting, Anisotropic diffusion, Image retrieval, 3D Biometry.
Hamid Amiri
Hamid Amiri is a Professor at the National Engineering School of Tunis (ENIT) Tunisia. He received the Diploma of Electro-technics, Information Technique in 1978 and the PHD degree in1983 at the TU Braunschweig, Germany. He obtained the Doctorates Sciences in 1993. From 2001 to 2009 he was at the Riyadh College of Telecom and Information. Currently. He is now thea head member of research group in the Signal, Image and Pattern Recognition Laboratory. His research is focused on Image Processing, Speech Processing, Document Processing and Natural language processing.
