Compressed image quality metric based on perceptually weighted distortion

Objective quality assessment for compressed images is critical to various image compression systems that are essential in image delivery and storage. Although the mean squared error (MSE) is computationally simple, it may not be accurate to reflect the perceptual quality of compressed images, which...

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Veröffentlicht in:	IEEE transactions on image processing 2015-12, Vol.24 (12), p.5594-5608
Hauptverfasser:	Sudeng Hu, Lina Jin, Hanli Wang, Yun Zhang, Sam Kwong, Kuo, C.-C Jay
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Compressed compressed image Computer simulation Data Compression - methods Databases, Factual Digital broadcasting Distortion Distortion measurement Estimation human visual system Image coding Image Processing, Computer-Assisted - methods Image quality Image quality assessment low-pass filter Masking masking effect Mathematical models Models, Statistical Modulation Pattern Recognition, Automated - methods Preprocessing Quality Randomness Visualization
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