Pedamalli Saikrishna

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This paper proposes a novel iterative method for the removal of random-valued impulse noise from the images using sparse representations. Each iteration has three stages. In the first stage, the positions of the possible noise pixels are detected using a sparse representation of the pixels in a window. In the next stage, the pixels that are detected as(More)
In this paper, a new method to remove salt and pepper noise from an image through sparse representation is proposed. The proposed method consists of two stages. In the first stage, the positions of noise pixels are detected by thresholding the absolute difference between the noisy image and its sparse representation. In the next stage, the pixels that are(More)
A script independent, font-size independent scheme is proposed for detecting bold words in printed pages. In OCR applications such as minor modifications of an existing printed form, it is desirable to reproduce the font size and characteristics such as bold, and italics in the OCR recognized document. In this morphological opening based detection of bold(More)
Cloud computing has been emerging as a new technology. In a distributed computing perspective cloud is similar to client-server services like web-based services and uses virtualized resources for execution. The widespread use of internet technology has focused attention on quality of service, especially the response time experienced by the end user. We(More)
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