perceptual optimization

Locally Adaptive Structure and Texture Similarity for Image Quality Assessment
We extend the DISTS index to a locally adaptive version – A-DISTS, which separates structure and texture across space and scale, and assign the adaptive weighting of quality measurements according to local image content.
Keyan Ding, Yi Liu, Xueyi Zou, Shiqi Wang, Kede Ma
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Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems
We performed a large-scale comparison of full-reference IQA models in terms of their use as objectives for the optimization of image processing algorithms — denoising, deblurring, super-resolution, and compression.
Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
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Image Quality Assessment: Unifying Structure and Texture Similarity
We proposed a Deep Image Structure and Texture Similarity (DISTS) metric, which is sensitive to structural distortions, tolerant of texture resampling, and robust to mild geometric transformations.
Keyan Ding, Kede Ma, Shiqi Wang, Eero P. Simoncelli
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