Blind image quality assessment method based on a particle swarm optimization support vector regression fusion scheme-Reference-Cited by-同舟云学术

Blind image quality assessment method based on a particle swarm optimization support vector regression fusion scheme

Published:2016-12-20 Issue:6 Volume:25 Page:061623
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:en
Short-container-title:J. Electron. Imaging

Author:

Borhen Eddine Dakkar¹,Fella Hachouf¹,Azeddine Beghdadi²

Affiliation:

1. Université des Frères Mentouri, Département d'Electronique, Faculté des Sciences de la Technologie, Laboratoire d’Automatique et de Robotique, Campus A. Hamani, route Ain El Bey, Constantine 25000, Algérie

2. Université Paris 13-Sorbonne Paris Cité, Institut Galilée, Laboratoire de Traitement et Transport de l’Information, 99 Avenue Jean Baptiste Clément, Villetaneuse 93430, France

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference35 articles.

1. Seven Challenges in Image Quality Assessment: Past, Present, and Future Research

2. Reduced-Reference Image Quality Assessment by Structural Similarity Estimation

3. Non-distortion-specific no-reference image quality assessment: A survey

4. SVD-Based Quality Metric for Image and Video Using Machine Learning

5. Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality

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