Digital images inpainting using modified convolution based method

Mohiy M. Hadhoud; Kamel A. Moustafa; Sameh Z. Shenoda

doi:10.1117/12.816704

13 April 2009 Digital images inpainting using modified convolution based method

Mohiy M. Hadhoud, Kamel A. Moustafa, Sameh Z. Shenoda

Proceedings Volume 7340, Optical Pattern Recognition XX; 73400S (2009) https://doi.org/10.1117/12.816704
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Reconstruction of missing parts or scratches of digital images is an important field used extensively in artwork restoration. This restoration can be done by using two approaches, image inpainting and texture synthesis. There are many techniques for the two pervious approaches that can carry out the process optimally and accurately. In this paper the advantages and disadvantages of most algorithms of the image inpainting approach are discussed. The modification to Oliveira inpainting model is introduced. This modification produces fast and good quality with one iteration without blur and removes large object with symmetric background.

Citation Download Citation

Mohiy M. Hadhoud, Kamel A. Moustafa, and Sameh Z. Shenoda "Digital images inpainting using modified convolution based method", Proc. SPIE 7340, Optical Pattern Recognition XX, 73400S (13 April 2009); https://doi.org/10.1117/12.816704

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