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Video enhancement using a robust iterative SRR based on andrew's sine regularization technique
In this paper, we propose a alternative robust video enhancement algorithm using SRR based on the regularization ML technique. First, the classical registration process is used to estimate the relationship between the ...
Video enhancement using a robust iterative SRR based on leclerc stochastic estimation
Recent results in SRR (Super Resolution Reconstruction) demonstrate that the fusion of a sequence of low-resolution noisy blurred images can produce a higher-resolution image or sequence. Since noise is always present in ...
Multiframe resolution-enhancement using a robust iterative SRR based on leclerc stochastic technique
This paper proposes a multiframe resolution-enhancement using a robust iterative SRR (Super-Resolution Reconstruction) for applying on images that is corrupted by several nose models. Typically, the success of SRR algorithms ...
A fast image recovery using compressive sensing technique with block based orthogonal matching pursuit
Traditionally, the problems of applying Orthogonal Matching Pursuit (OMP) to large images are its high computing time and its requirement for a large matrix. In this paper, we propose a fast image recovery algorithm by ...