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Estimating the Resize Parameter in End-to-end Learned Image Compression
By conducting extensive experimental tests on existing deep image compression models, we show results that our new resizing parameter estimation framework can provide Bj{\o}ntegaard-Delta rate (BD-rate) improvement of about 10% against leading perceptual quality engines.
Improving Maximum Likelihood Difference Scaling method to measure inter content scale
The goal of most subjective studies is to place a set of stimuli on a perceptual scale.
CAMBI: Contrast-aware Multiscale Banding Index
Banding artifacts are artificially-introduced contours arising from the quantization of a smooth region in a video.
Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy
The development of rigorous quality assessment model relies on the collection of reliable subjective data, where the perceived quality of visual multimedia is rated by the human observers.
