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Image Restoration using 3-Dimensional Discrete Cosine Transform

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
D. Ramesh Varma, G. Prasanna Kumar, P. S. N. Murthy

Ramesh D Varma, Prasanna G Kumar and P S N Murthy. Image Restoration using 3-Dimensional Discrete Cosine Transform. International Journal of Computer Applications 156(9):16-22, December 2016. BibTeX

	author = {D. Ramesh Varma and G. Prasanna Kumar and P. S. N. Murthy},
	title = {Image Restoration using 3-Dimensional Discrete Cosine Transform},
	journal = {International Journal of Computer Applications},
	issue_date = {December 2016},
	volume = {156},
	number = {9},
	month = {Dec},
	year = {2016},
	issn = {0975-8887},
	pages = {16-22},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2016912545},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Image restoration is one of the major issues in the field of image processing. Generally, images are corrupted due to the ageing effect. The previous techniques are based on only single domain i.e.., either local domain or non-local domain. This paper present a new technique called “Image restoration using 3-dimensional discrete cosine transform” which comprises of two domains. Initially, smoothing of image is performed with the help of horizontal and vertical difference operators in the local domain and then synthesizes the textures with the help of discrete cosine transform in non-local domain. A split bregman iterative algorithm is developed to make these two domains more tractable and robust. In this paper, the problem of removing text in an image and filling the corrupted regions is dealt with the help of proposed technique. The proposed method achieves significant performance improvements over the existing state-of-art schemes.


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Discrete cosine transform, ageing effect, Split-bregman algorithm