R. K. Kulkarni

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— Video-surveillance and traffic analysis systems can be heavily improved using vision-based techniques to extract, manage and track objects in the scene. However, problems arise due to shadows. In particular, moving shadows can affect the correct localization, measurements and detection of moving objects. This work aims to present a technique for shadow(More)
3D Television enhances viewing experience by adding visual impact to any scene. Generating stereoscopic content from the vast collection of already existing 2D material is less expensive and less time consuming than creating 3D material using stereoscopic cameras. Depth Image Based Rendering (DIBR) is one of the various approaches for 2D to 3D video(More)
In this paper, the algorithm is developed by combining advantages of the median filters for filtration of noisy pixels with noise detection step. The algorithm works well for suppressing impulse noise with noise density ranging from 10 to 70% while preserving image details. The proposed algorithm is based on the two schemes:- 1) Impulse noise detection(More)
In this paper a novel method for effectively denoising the extremely corrupted image by fixed value impulse noise using robust estimation based filter is proposed. The proposed algorithm classifies the pixels of localized window in to " corrupted " or " uncorrupted " and removes only corrupted pixels by robust estimation or by mean of the processed(More)
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