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A novel patch-based multi-view image denoising algorithm is proposed. This method leverages the 3D focus image stacks structure to exploit self-similarity and image redundancy inherent in multiple view images. Then a depth-guided adaptive window and dynamic view selection criterion is developed to aid proper selection of most consistent patches for the multi-view image denoising. Extensive experiments...
In this paper, we propose an improved fast multiple-view image denoising algorithm based on plane sweeping (PS) and non-local means (NLM). Miyata et al. proposed to use PS to convert multi-view images into multi-focus images for noise suppression. It showed improved computational efficiency and comparable denoising quality compared to conventional methods. In this paper, we introduce the notion of...
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