Edge Preserving MAP Estimation of Images Using Filtering Approach and Wavelet Based Mehods
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 7
Abstract
This paper presents an effective approach for image restoration in the presence of both blur and noise.Here the image is divided into independent regions. Each region is modelled with a WSS Gaussian prior. This algorithm uses wavelet based methods for image denoising. Classical Wiener filter theory is used to generate a set of convex sets in the solution space, with the solution to the MAP estimation problem lying at the intersection of these sets.The algorithm is suitable for a range of image restoration problems. It provides a computationally efficient means to deal with the shortcomings of Wiener filtering without sacrificing the computational simplicity of the filtering approach. This method provides a better restored image.
Authors and Affiliations
Hitha Mohanan , Swagatha
Keywords
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- EP ID EP151689
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