Ruchika Mahrishi

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In this paper, we propose a novel wavelet edge detection algorithm for noisy images. The proposed edge detection method works efficiently on images influenced by noise and is able to differentiate between noise and real edges, thus detecting the actual edges. Classical edge detectors like Roberts, Sobel, Prewitt and Laplacian operators fail to detect edges(More)
In this paper, a novel Second Generation Wavelets based lifting filter for image reconstruction has been proposed. This paper, presents a progressive image reconstruction scheme based on the multi-scale edge representation of images. In the multi-resolution edge representation an image is decomposed into Most Significant Points which represent the strong(More)
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