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Computing / Human visual system model / Peak signal-to-noise ratio / JPEG / Thresholding / Imaging / Image processing / Structural similarity / Signal processing


Analyzing the Role of Visual Structure in the Recognition of Natural Image Content with Multi-Scale SSIM David M. Rouse and Sheila S. Hemami Visual Communications Lab, School of Electrical and Computer Engineering Cornel
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Document Date: 2009-11-05 14:28:37


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File Size: 602,05 KB

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City

SSIM / San Jose / Ithaca / /

Company

SSIM / /

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Facility

Computer Engineering Cornell University / /

IndustryTerm

related quality assessment algorithms / signal processing framework / perceptual quality assessment algorithms / quality assessment algorithms / higher-level visual processing / inner product / nonlinear processing / information processing system / signal processing models / quality assessment algorithm / contrast model accounting / equal energy / image recognizable will yield algorithms / energy / /

MarketIndex

SSIM / /

Organization

School of Electrical / Sheila S. Hemami Visual Communications Lab / Cornell University / /

Person

David M. Rouse / Sheila S. Hemami / /

Position

image pianist / advocate a multi-scale image structure analysis / pianist / image guitarist / guitarist / skier / /

ProvinceOrState

New York / /

Technology

quality assessment algorithms / DCQ algorithm / closely related quality assessment algorithms / QA algorithm / two QA algorithms / image compression / 13 quality assessment algorithm / JPEG / 20 5.3 Algorithms / perceptual quality assessment algorithms / 10 quality assessment algorithm / FR QA algorithms / image processing / particular QA algorithm / 5.2 Algorithms / QA algorithms / /

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