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Reviewing, selecting and evaluating features in distinguishing fine changes of global texture.

, , , , and . Pattern Anal. Appl., 17 (1): 1-15 (2014)

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iFAS: Image Fidelity Assessment., , and . CCIW, volume 10213 of Lecture Notes in Computer Science, page 83-94. Springer, (2017)Improving textures discrimination in the local binary patterns technique by using symmetry & group theory., , , , , and . DSP, page 1-6. IEEE, (2011)Surface Reconstruction of Wear in Carpets by Using a Wavelet Edge Detector., , , , , , and . ACIVS (1), volume 6474 of Lecture Notes in Computer Science, page 309-320. Springer, (2010)Automatic grading of appearance retention of carpets using intensity and range images., , , , , , , and . J. Electronic Imaging, 21 (2): 021106 (2012)Reviewing, selecting and evaluating features in distinguishing fine changes of global texture., , , , and . Pattern Anal. Appl., 17 (1): 1-15 (2014)Content-aware contrast ratio measure for images., , , and . Signal Process. Image Commun., (2018)Selection of optimal texture algorithms for evaluating degradation of carpets through experimental design., , , , , and . J. Electronic Imaging, 22 (3): 033020 (2013)A Full Reference Video Quality Measure based on Motion Differences and Saliency Maps Evaluation., , , and . VISAPP (2), page 714-722. SciTePress, (2014)Content-aware video quality assessment: predicting human perception of quality using peak signal to noise ratio and spatial/temporal activity., , , and . Image Processing: Algorithms and Systems, volume 9399 of SPIE Proceedings, page 939917. SPIE, (2015)Evaluating color difference measures in images., , and . QoMEX, page 1-6. IEEE, (2016)