Image quality assessment based on multi-feature extraction and synthesis with support vector regression-Reference-Cited by-同舟云学术

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Image quality assessment based on multi-feature extraction and synthesis with support vector regression

Published:2017-05 Issue: Volume:54 Page:81-92
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Ding Yong,Zhao Yang,Zhao Xinyu

Funder

National High Technology Research and Development Program of China

National Science & Technology Support Program of China

Zhejiang Provincial Natural Science Foundation

Publisher

Elsevier BV

Subject

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

Reference40 articles.

1. LIBSVM: a library for support vector machines;Chang;ACM Trans. Intell. Syst. Technol.,2011

2. Perceptual image quality assessment by independent feature detector;Chang;Neurocomputing,2015

3. Self-invertible 2D Log-Gabor wavelets;Fischer;Int. J. Comput. Vis.,2007

4. Visualization of multidimensional shape and texture features in laser range data using complex-valued Gabor wavelets;Gross;IEEE Trans. Vis. Comput. Graph.,1995

5. Natural Image Statistics: A Probabilistic Approach to Early Computational Vision;Hyvärinen,2009

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