Image information and visual quality

Measurement of visual quality is of fundamental importance to numerous image and video processing applications. The goal of quality assessment (QA) research is to design algorithms that can automatically assess the quality of images or videos in a perceptually consistent manner. Image QA algorithms...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 15; H. 2; S. 430 - 444
Hauptverfasser:	Sheikh, H.R., Bovik, A.C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.02.2006 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Applied sciences Artificial Intelligence Biomimetics - methods Computer science; control theory; systems Distortion Distortion measurement Exact sciences and technology Human Humans Image Enhancement - methods Image information Image Interpretation, Computer-Assisted - methods Image processing Image quality image quality assessment (QA) information fidelity Information Storage and Retrieval - methods Information, signal and communications theory Mathematical models natural scene statistics (NSS) Pattern recognition. Digital image processing. Computational geometry Predictive models Psychology Quality assessment Reproducibility of Results Sensitivity and Specificity Signal processing Statistics Studies Telecommunications and information theory Video sharing Visual Visual system Image quality Image information Fidelity Image processing image quality assessment (QA) Measurement method information fidelity Video signal processing natural scene statistics (NSS)
ISSN:	1057-7149, 1941-0042
Online-Zugang:	Volltext
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