AN EFFICIENT SURVEY & COMPARISON OF IMAGE DENOISING TECHNIQUES
Removing noise from the original signal is still a challenging problem for researchers. There have been several published algorithms and each approach has its assumptions, advantages, and limitations. In spite of the sophistication of the recently proposed methods, most algorithms have not yet attained a desirable level of applicability. Reduction of noise is essential especially in the field of image processing. Several researchers are continuously working in this direction and provide some good insights, but still there are lot of scope in this field. Noise mixed with image is harmful for image processing. In this dissertation we proposed an efficient Multithresholding approach for reducing noise and blur parameters.
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