Investigating the Extent of Noise in Digital Images using Singular Value Decomposition
نویسنده
چکیده
Digital images have an inherent amount Deepika Sharma of noise introduced either by the imaging process or manual creation. Singular value decomposition (SVD) is one of the most important and useful factorizations in linear algebra. We describe how SVD is applied to problems involving image processing—in particular, how SVD removes the noise from digital images using linear calculations. In this paper, we proposed an efficient model of noise removal. Further the results have been compared with that of existing noise removal median filter to investigate the extent of removal of unwanted noise from digital images.
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تاریخ انتشار 2013