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Image De-Noising by Common Vector Elimination in PCA (Principal Component Analysis)

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Executive Summary

This paper presents the PCA (Principal Component Analysis) based algorithm for noise removal from noisy images, the concept is based on analysis which states that the noise components affects all parts of image uniformly, the noise can be from many independent components, in proposed algorithm the noisy vector is searched on the basis of global similarity of vectors of each segments from the images. The proposed algorithm simulated on MATLAB 7.5 and the results shows that the algorithm works well for de-noising with faster than the other wavelet based PCA methods.

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