No-reference image quality assessment with local features and high-order derivatives

Author:

Oszust Mariusz

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference57 articles.

1. Seven challenges in image quality assessment: past, present, and future research;Chandler;ISRN Signal Process.,2013

2. Lightweight implementation of no-reference (NR) perceptual quality assessment of H.264/AVC compression;Leszczuk;Signal Process. – Image,2015

3. Anisotropic blind image quality assessment: survey and analysis with current methods;Gabarda;J. Vis. Commun. Image R.,2018

4. Perceptual visual quality metrics: a survey;Lin;J. Vis. Commun. Image R.,2011

5. Image quality assessment: from error visibility to structural similarity;Wang;IEEE T. Image Process.,2004

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