Ashish Phophalia

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A new denoising filter is proposed for human brain MR image. The proposed filter is based on the notion of existing bilateral filter whose objective is to get a noise-free smooth image, preserving edges and other features intact. We have introduced a weighing function that controls the impact of existing bilateral filter for denoising. It is conditioned by(More)
In this paper, we propose a novel approach to explore self-similarity of an image for patch based image processing application. The motivation of this work is to search for a similar set of pixels from a given image for each pixel or patch present in the image. So far, the search for similarity exploration in the image is a time consuming task and(More)
The Finite Mixture Model (FMM) based approaches have been applied in Magnetic Resonance Imaging (MRI) to extract information about human anatomy. The idea is to model feature vector of a tissue using some known distribution (such as Gaussian, known as GMM). The performance of FMM deteriorates with increase in noise within data which may occur due to(More)
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