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A Comparison of Three Image Fidelity Metrics of Different Computational Principles for JPEG2000 Compressed Abdomen CT Images.

, , , , , , , and . IEEE Trans. Med. Imaging, 29 (8): 1496-1503 (2010)

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Analysis of Reproducing Real-World Appearance on Displays of Varying Dynamic Range., , , and . Comput. Graph. Forum, 25 (3): 415-426 (2006)Glare encoding of high dynamic range images., , , , and . CVPR, page 289-296. IEEE Computer Society, (2011)High Dynamic Range Image and Video Compression - Fidelity Matching Human Visual Performance., , , and . ICIP (1), page 9-12. IEEE, (2007)Calibration of the visual difference predictor for estimating visibility of JPEG2000 compression artifacts in CT images., , , and . Human Vision and Electronic Imaging, volume 7527 of SPIE Proceedings, page 75270. SPIE, (2010)Lossy compression of high dynamic range images and video., , and . Human Vision and Electronic Imaging, volume 6057 of SPIE Proceedings, page 60570V. SPIE, (2006)Predicting visible differences in high dynamic range images: model and its calibration., , , and . Human Vision and Electronic Imaging, volume 5666 of SPIE Proceedings, page 204-214. SPIE, (2005)Objective and subjective evaluation of High Dynamic Range video compression., , , , , , , and . Sig. Proc.: Image Comm., (2016)Quality-preserving image downsizing., , and . SIGGRAPH Posters, page 74:1. ACM, (2010)New measurements reveal weaknesses of image quality metrics in evaluating graphics artifacts., , , , and . ACM Trans. Graph., 31 (6): 147:1-147:10 (2012)DiCE: dichoptic contrast enhancement for binocular displays., , , , , , and . SIGGRAPH Posters, page 36:1-36:2. ACM, (2019)