Frame By Frame Digital Video Denoising Using Multiplicative Noise Model
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AUTHOR(S)
M. Morshed, M. M. Nabi, N. B. Monzur
KEYWORDS
Keywords : Digital Video Denoising; Multiplicative Noise Models; Peak Signal to Noise Ratio; Synthetic Aperture Radar; Structural Similarity Index etc.
ABSTRACT
ABSTRACT:The sparse representations of images have achieved outstanding demising results in recent days. But noise reduction in digital videos remains a challenging problem. In this communication we considered the coherent nature of the video frames for image processing. The imaging model shows that the video frames are corrupted by multiplicative noise. Simulation results carried out on artificially corrupted videos' frames and demonstrated performances of five previously available filtering approaches.
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