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Determination of Optimum Step Size of LMS Algorithm in De-noising of Image

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dc.contributor.author Mim, Sharmin Akter
dc.contributor.author Jahan, Nusrat
dc.date.accessioned 2017-06-13T04:12:42Z
dc.date.available 2017-06-13T04:12:42Z
dc.date.issued 12/27/2016
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/2188
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Information and Communication Engineering of East West University, Dhaka, Bangladesh en_US
dc.description.abstract If the source of noise of an image is known then we consider that the noise is correlated with one portion of the noisy image. In this case the noisy of the signal or image is removed using adaptive algorithm. In this project work we removed noise from noisy images using LMS(Least Mean Square) algorithm then similarity between original and recovered images is measured using cross-correlation efficient. The step size of the algorithm is varied to get maximum value of cross-correlation co-efficient to achieve optimum step size. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;ECE00121
dc.subject LMS Algorithm in De-noising of Image en_US
dc.title Determination of Optimum Step Size of LMS Algorithm in De-noising of Image en_US
dc.type Thesis en_US


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