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2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s)
Image denoising is the first and much necessary step to execute before examining an image. Problems with the data acquisitive process, Imperfectness of instruments, and interferingness natural phenomena are the main reasons to spoil an image. The goal of denoising is to take out the utmost noise from an image while keeping as much as possible the important data, signal features. In this paper we have examined and compared the results of the Modified Haar Denoising algorithm using Laplaciandoi:10.1109/imac4s.2013.6526401 fatcat:ojhk7nvhjjcghbtxdegywpmtma