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A Review on Blind and Non-Blind Deblurring Techniques in Image processing

M. Sahithya*, I. Suneetha**, N. Pushpalatha***

* M.Tech Student, Department of ECE, Annamacharya Institute of Technology and Sciences, Tirupati, India.

** Associate Professor & Head, Department of ECE, Annamacharya Institute of Technology and Sciences, Tirupati, India.

*** Assistant Professor, Department of ECE, Annamacharya Institute of Technology and Sciences, Tirupati, India.

Periodicity:April - June'2014
DOI : https://doi.org/10.26634/jip.1.2.2828

Abstract

Image blur is a very difficult problem. Now a days, deblurring plays a vital role in digital image processing. Image deblurring has infinite solutions which are unstable because it is used to make the picture sharp and useful. So, to find the best solution for adjusting the regularization parameter, the number of iterations of the algorithm are used to address the optimization problem. This method well estimates the recovered image, but the residual image is a poorly deblurred image and it exhibits structured artifacts that are not spectrally white. Now in the proposed criterion, the same procedure mentioned above is repeated and the regularization parameter is chosen and the algorithm is decided to stop at the best Signal to Noise Ratio (SNR). Tests will be performed on monochrome and color images with various synthetic and real life degradations to get better results.

Keywords

Deblurring, Residual Image, Regularization Parameter, Artifacts, Signal to Noise Ratio (SNR).

How to Cite this Article?

Sahithya, M., Suneetha, I., and Pushpalatha, N. (2014). A Review on Blind and Non-Blind Deblurring Techniques in Image processing. i-manager’s Journal on Image Processing, 1(2), 30-35. https://doi.org/10.26634/jip.1.2.2828

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