Maximum likelihood difference scaling of image quality in compression-degraded images.

Maximum likelihood difference scaling of image quality in compression-degraded images. Research Abstract Details 

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Maximum likelihood difference scaling of image quality in compression-degraded images. Abstract Text:

Christophe Charrier,Laurence T Maloney,Hocine Cherifi,Kenneth Knoblauch,Christophe Charrier,Laurence T Maloney,Hocine Cherifi,Kenneth Knoblauch,Christophe Charrier,Laurence T Maloney,Hocine Cherifi,Kenneth Knoblauch,

Lossy image compression techniques allow arbitrarily high compression rates but at the price of poor image quality. We applied maximum likelihood difference scaling to evaluate image quality of nine images, each compressed via vector quantization to ten different levels, within two different color spaces, RGB and CIE 1976 L(*)a(*)b(*). In L(*)a(*)b(*) space, images could be compressed on average by 32% more than in RGB space, with little additional loss in quality. Further compression led to marked perceptual changes. Our approach permits a rapid, direct measurement of the consequences of image compression for human observers.

Maximum likelihood difference scaling of image quality in compression-degraded images. Publishing Authors By Initials

C Charrier,LT Maloney,H Cherifi,K Knoblauch,C Charrier,LT Maloney,H Cherifi,K Knoblauch,C Charrier,LT Maloney,H Cherifi,K Knoblauch,

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Maximum likelihood difference scaling of image quality in compression-degraded images. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Journal of the Optical Society of America. A, Opti

VOLUME: 24

Page Numbers: 3418-26

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ISSN: 1084-7529

DAY: 2

MONTH: Nov

YEAR: 2007

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LANGUAGE: eng

NlmUniqueID: 9800943

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Country: United States

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MEDLINETA: J Opt Soc Am A Opt Image Sci V

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