Now showing items 1-4 of 4
Video enhancement using a robust iterative SRR based on a German&McClure stochastic estimation with a general observation model
This paper proposes the novel robust SRR algorithm that can be effectively applied on the sequence that are corrupted by various noise models and can be applied on the real or standard sequence. First, the proposed SRR ...
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 ...
Performance evaluation of L1, L2 and SL0 on compressive sensing based on stochastic estimation technique
In this paper, we proposed 2 algorithms based on L1 and L2 norm estimator to recover the signal by using just few components. Moreover we comprehensively present the recovery algorithm based on L1, L2 and SL0 for digital ...
An Alternative Technique using Median Filter for Image Reconstruction based on Partition Weighted Sum Filter
In this paper, we propose an alternative technique for image reconstruction which it is combined existing methods for better performance in spatial domain using the median (MED) filter based on partition weighted sum ...