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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 algorithm is based on the Geman&McClure norm that used for measuring the difference between the projected estimate of the high quality image and each low high quality image and...
Traditionally, Super Resolution Reconstruction (SRR) is the process by which additional information is incorporated to enhance a low resolution image thereby producing a high resolution image. This paper proposes the robust SRR algorithm for any noise model using the stochastic regularization technique by minimizing a cost function. The Geman&McClure norm is used for measuring the difference between...
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