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Sophisticated computational imaging algorithms require both high performance and good energy-efficiency when executed on mobile devices. Recent trend has been to exploit the abundant data-level parallelism found in general purpose programmable GPUs. However, for low-power mobile use cases, generic GPUs consume excessive amounts of power. This paper proposes a programmable computational imaging processor...
A family of the block matching 3-D (BM3D) algorithms for various imaging problems has been recently proposed within the framework of nonlocal patchwise image modeling <citerefgrp><citeref refid="ref1"/></citerefgrp>, <citerefgrp> <citeref refid="ref2"/></citerefgrp>. In this paper, we construct analysis and synthesis frames, formalizing BM3D...
Recently within the framework of nonlocal patch-wise estimation a family of the Block Matching 3-D (BM3D) algorithms has been developed for various imaging problems [1], [2]. In [3] we demonstrated that BM3D modeling allows frame interpretation and constructed the corresponding analysis and synthesis frames which we call BM3D-frames. In this paper we use the BM3D-frames to develop an image deblurring...
In this paper we present a novel wavelet-domain image upsampling algorithm based on iterative spatially adaptive filtering. A high-resolution image is reconstructed by alternating two procedures: spatially adaptive filtering and projection on the observation-constrained subspace. The Block-Matching and 3D filtering (BM3D) [3] technique is used to suppress ringing, and reconstruct missing wavelet detail...
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