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Local Inverse Tone Curve Learning for High Dynamic Range Image Scalable Compression.

, , and . IEEE Trans. Image Process., 24 (12): 5753-5763 (2015)

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A Coherent Computational Approach to Model Bottom-Up Visual Attention., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 28 (5): 802-817 (2006)Adaptive re-quantization for high dynamic range video compression., , and . ICASSP, page 7367-7371. IEEE, (2014)Scalable light field compression scheme using sparse reconstruction and restoration., , , and . ICIP, page 3250-3254. IEEE, (2017)Inter-Layer Prediction of Color in High Dynamic Range Image Scalable Compression., , and . IEEE Trans. Image Process., 25 (8): 3585-3596 (2016)Clustering-based methods for fast epitome generation., , , and . EUSIPCO, page 211-215. IEEE, (2014)Performance assessment of a visual attention system entirely based on a human vision modeling., , , and . ICIP, page 2327-2330. IEEE, (2004)A spatio-temporal model of the selective human visual attention., , , and . ICIP (3), page 1188-1191. IEEE, (2005)Sparse representations for spatial prediction and texture refinement., , , and . J. Vis. Commun. Image Represent., 22 (8): 712-720 (2011)Texture refinement framework for improved video coding., , , , , and . Visual Information Processing and Communication, volume 7543 of SPIE Proceedings, page 75430O. SPIE, (2010)Scalable Image Coding Based on Epitomes., , , and . IEEE Trans. Image Process., 26 (8): 3624-3635 (2017)