A hybrid system for distortion classification and image quality evaluation-Reference-Cited by-同舟云学术

A hybrid system for distortion classification and image quality evaluation

Published:2012-10 Issue:9 Volume:27 Page:948-960
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Chetouani Aladine,Beghdadi Azeddine,Deriche Mohamed

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. JPEG2000: Image Compression Fundamentals, Standards and Practice;Taubman,2001

2. Introduction to the special issue on visual media quality assessment;Karam;IEEE Journal on Special Topics in Signal Processing, Special Issue on Visual Media Quality Assessment,2009

3. Perceptual visual quality metrics: a survey;Lin;Journal of Visual Communication and Image Representation,2011

4. Mean squared error: love it or leave it?—A new look at signal fidelity measures;Wang;IEEE Signal Processing Magazine,2009

5. K. Egiazarian, J. Astola, N. Ponomarenko, V. Lukin, F. Battisti, M. Carli, New full-reference quality metrics based on HVS, in: Proceedings of the Second International Workshop on Video Processing and Quality Metrics, USA, 2006.

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Leukemia Gene Features Extraction and Selection Technique for Robust Type Prediction Using Machine Learning;Arabian Journal for Science and Engineering;2024-07-02

2. Blind quality-based pairwise ranking of contrast changed color images using deep networks;Signal Processing: Image Communication;2024-02

3. Comparative Study of Saliency- and Scanpath-Based Approaches for Patch Selection in Image Quality Assessment;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

4. Systemic distortion analysis with deep distortion directed image quality assessment models;Signal Processing: Image Communication;2022-11

5. Role of Machine Learning in Handling the COVID-19 Pandemic;Empowering Sustainable Industrial 4.0 Systems With Machine Intelligence;2022-04-01