A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms

Measurement of visual quality is of fundamental importance for numerous image and video processing applications, where the goal of quality assessment (QA) algorithms is to automatically assess the quality of images or videos in agreement with human quality judgments. Over the years, many researchers...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 15; H. 11; S. 3440 - 3451
Hauptverfasser:	Sheikh, H.R., Sabir, M.F., Bovik, A.C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.11.2006 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Applied sciences Assessments Data Interpretation, Statistical Detection, estimation, filtering, equalization, prediction Distortion Exact sciences and technology Human Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image quality Image quality assessment performance image quality study Information Storage and Retrieval - methods Information, signal and communications theory Judgments Laboratories Performance analysis Performance evaluation PSNR Quality assessment Quality Control Signal and communications theory Signal processing Signal, noise Software Software Validation Studies subjective quality assessment Telecommunications and information theory Testing Video compression Performance evaluation Image processing Algorithm Image quality assessment performance Subjective evaluation Video signal processing Image quality subjective quality assessment image quality study Algorithm performance Quality control Signal distortion Image evaluation
ISSN:	1057-7149, 1941-0042
Online-Zugang:	Volltext
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