C. Lakshmi

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In this work,anovel decision based trimmed median filter algorithm for restoring gray scale, and color images of highly corrupted is proposed. It replaces the noisy pixel by trimmed median value when other pixel values, 0’s and 255’s are present in the selected window and when all the pixel values are 0’s and 255’s then the noise pixel is replaced by mean(More)
Kernel discriminative common vector is one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. This paper presents a new algorithm called "Improved Kernel Discriminative Common Vector" (IKDCV) to further improves the overall performance of KDCV by integrating the boosting parameters(More)
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