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M.Tech M.E PhD Thesis | Electronics Communication Engineering | Volume 4 Issue 5, May 2015 | Pages: 2356 - 2358 | India
Adaptive Deblurring and Parameter Estimation Using Dictionary Learning and Whiteness Measures
Abstract: The blurring of the image is a common scenerio as the digital devices become popular. Oftenthis images will be blurred due to camera shake and out of focus. Image deblurring is so becoming so important and this paper prorposes an adaptive method of image deblurring by using dictionary learning method. We also carry out an comparitive study with an existing method in which deblurring is done by estimating a parameter for the deblurring filter by using an iteration method. As iterations require a stopping crietria this method also makes use of a whiteness crietria to stop the itaerations, and obtaining the filter and then image will be deblurred. A comparative study between these two methods will be carried out.
Keywords: Deblurring, Blindeblurring, Adaptive learning Dictionary updation, Residual whiteness
How to Cite?: Sruthi M, Rajeev N, "Adaptive Deblurring and Parameter Estimation Using Dictionary Learning and Whiteness Measures", Volume 4 Issue 5, May 2015, International Journal of Science and Research (IJSR), Pages: 2356-2358, https://www.ijsr.net/getabstract.php?paperid=SUB154823, DOI: https://dx.doi.org/10.21275/SUB154823