An Improved Image Restoration Technique for GIF Images

Geetanjali Jain, Supreet Kaur


Image restoration is used to emphasize and sharpen image features for display and analysis. Image restoration is the process of applying these techniques to facilitate the development of a solution to a computer imaging problem. Image restoration is an important issue in high level image processing which deals with recovering of an original and sharp image using a degradation and restoration model. During image acquisition process degradation occurs. Image restoration is used to estimate the original image from the degraded data. Aim of this research work is to provide a concise overview of most useful restoration models. Using the proposed approach the features of the neighboring pixels are calculated and on basis of these features image is restored. In this research work we use canny edge detection technique to find edges and use probability recovery method to find distortion in each pixel. Using thresholding value restore the distorted pixels and filter restored image. In the end performance evaluation of proposed method is performed based on various parameters like MSE, PSNR, contrast, and coefficient of correlation.

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Combettes P. T. and Pesquet J. C., “Image Restoration Subject to a Total Variation Constraint”, IEEE Transactions On Image Processing, Vol. 13, No. 9, September 2004.

Gulhane P. R. and Gaikwad V. T., “Image Restoration Using Filling-In Technique for Missing Blocks of Image”, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 2, Issue. 5, May 2012.

Mark R.Banham and Aggelos K. Katsagglos,“Digital Image Restoration”, IEEE Signal Processing Magazine, 1997.

Charu Khare, Kapil Kumar Nagwanshi ,” Implementation and Analysis of Image Restoration Techniques”, International Journal of Computer Trends and Technology, May-June 2011.

Charu Khare and Kapil Kumar Nagwanshi,” Image Restoration Technique with Non Linear Filter”, International Journal of Advanced Science and Technology, Vol. 39, February, 2012.

Celia A. Zorzo Barcelos and Marcos Aure ́lio Batista,” Image restoration using digital in-painting and noise removal, Image and Vision Computing Journal, 2007

Rani R., Singh S. and Malik A., “Image De-noising Using Hybrid Filter,” International Journal of Innovative Technology and Exploring Engineering (IJITEE) , Volume 1 , Issue 1 , pp. 10-13, (June 2012)

Kaushik P. and Sharma Y., “Comparison Of Different Image Enhancement Techniques Based Upon Psnr & Mse” ,International Journal of Applied Engineering Research,Vol.7, No.11 (2012)

Chaahat and Bahl M., “Probabilistic Recovery Filling-in Technique For Image Restoration,” International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 3, pp. 545-547, (March 2013)

Goyal S. R.,“Digital In-painting Based Restoration”, International Journal of Computer Science & Communication, Vol. 1 , No: 1 , (June 2010)



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