Fast Multi-Scale Detail Decomposition via Accelerated Iterative Shrinkage

Abstract : We present a fast solution for performing multi-scale detail decomposition. The proposed method is based on an accelerated iterative shrinkage algorithm, able to process high definition color images in real-time on modern GPUs. Our strategy to accelerate the smoothing process is based on the use of first order proximal operators. We use the approximation to both designing suitable shrinkage operators as well as deriving a proper warm-start solution. The method supports full color filtering and can be implemented efficiently and easily on both the CPU and the GPU. We demonstrate the performance of the proposed approach on fast multi-scale detail manipulation of low and high dynamic range images and show that we get good quality results with reduced processing time.
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Communication dans un congrès
SIGGRAPH ASIA 2013, Nov 2013, Hong-Kong, Hong Kong SAR China. ACM, 2013, 〈10.1145/2542355.2542397〉
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Soumis le : mercredi 11 septembre 2013 - 11:55:44
Dernière modification le : mercredi 3 janvier 2018 - 14:18:08
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Hicham Badri, Hussein Yahia, Driss Aboutajdine. Fast Multi-Scale Detail Decomposition via Accelerated Iterative Shrinkage. SIGGRAPH ASIA 2013, Nov 2013, Hong-Kong, Hong Kong SAR China. ACM, 2013, 〈10.1145/2542355.2542397〉. 〈hal-00860081v2〉

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