Trimbak R. Sontakke

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Nowadays, Content Based Image Retrieval (CBIR) plays a significant role in the image processing field. Images relevant to a given query image are retrieved by the CBIR system utilizing either low level features (such as shape, color etc, ...) or high level features (human perception). Normally, a semantic gap exists between the low level features and the(More)
Image denoising is a common procedure to suppress the quality degradation caused by noise. Several image denoising methods are proposed in literature. Amongst these Discrete Wavelet Transform-DWT Filters are very popular. Denoising using the DWT-Transform includes decomposition of the image into various sub bands and then modeling them as independent(More)
Wavelet shrinkage is a standard technique for image denoising. Using the good directionality and shift invariance properties of dual tree complex wavelet transform, a new algorithm for image denoisinig is proposed. In this algorithm, the decomposed coefficients combined with the bivariate shrinkage model for the estimation of coefficients in high frequency(More)
An increasing number of Peer-to-Peer (P2P) Internet applications rely today on data dissemination as their cornerstone, e.g., audio or video streaming, multi-party games. These applications typically depend on some support for multicast communication, where peers interested in a given data stream can join a corresponding multicast group. As a consequence,(More)
Service Oriented Architecture A Revolution for Project Management Software has changed the way projects today are moving on the fly with the help of web services booming the industry. Service oriented architecture improves performance and the communication between the distributed and remote teams. Web Services to Provide Project Management software the(More)
This paper based on the characteristic of contour let transform for image denoising, paper presents adaptive window algorithm which uses directional information from the contour let transform and structure information of image for image denoising. In this method each sub band of the contour let is first fixed by autocorrelation function of contour let and(More)