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Fast and efficient blind image quality index in spatial domain
by
Jiao, Shuhong
, Lin, Weisi
, Shen, Weihe
, Qi, Huan
in
Applied sciences
/ Artificial intelligence
/ Computer science; control theory; systems
/ Exact sciences and technology
/ fast and efficient blind image quality index
/ FEB
/ Image and vision processing and display technology
/ image distortion
/ image processing
/ image quality assessment
/ IQA algorithm
/ Pattern recognition. Digital image processing. Computational geometry
/ spatial domain
/ subjective assessment
2013
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Fast and efficient blind image quality index in spatial domain
by
Jiao, Shuhong
, Lin, Weisi
, Shen, Weihe
, Qi, Huan
in
Applied sciences
/ Artificial intelligence
/ Computer science; control theory; systems
/ Exact sciences and technology
/ fast and efficient blind image quality index
/ FEB
/ Image and vision processing and display technology
/ image distortion
/ image processing
/ image quality assessment
/ IQA algorithm
/ Pattern recognition. Digital image processing. Computational geometry
/ spatial domain
/ subjective assessment
2013
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Do you wish to request the book?
Fast and efficient blind image quality index in spatial domain
by
Jiao, Shuhong
, Lin, Weisi
, Shen, Weihe
, Qi, Huan
in
Applied sciences
/ Artificial intelligence
/ Computer science; control theory; systems
/ Exact sciences and technology
/ fast and efficient blind image quality index
/ FEB
/ Image and vision processing and display technology
/ image distortion
/ image processing
/ image quality assessment
/ IQA algorithm
/ Pattern recognition. Digital image processing. Computational geometry
/ spatial domain
/ subjective assessment
2013
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Fast and efficient blind image quality index in spatial domain
Journal Article
Fast and efficient blind image quality index in spatial domain
2013
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Overview
A fast and efficient method [fast efficient blind (FEB)] for no-reference image quality assessment (IQA) is presented. Two new features, log-energy and variance, are proposed in the spatial domain, which make the IQA algorithm faster and more efficient. FEB obviates the training process of distortion images and subjective opinion scores due to the properties of the new features. The experiment shows that the proposed method outperforms conventional methods in terms of both accuracy and execution speed and is also consistent with the subjective assessment of human beings. Owing to the simplicity of the features proposed, FEB can realise real-time IQA completely.
Publisher
The Institution of Engineering and Technology,Institution of Engineering and Technology
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