Image Quality Assessment Based on Gradient Similarity

In this paper, we propose a new image quality assessment (IQA) scheme, with emphasis on gradient similarity. Gradients convey important visual information and are crucial to scene understanding. Using such information, structural and contrast changes can be effectively captured. Therefore, we use th...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 21; H. 4; S. 1500 - 1512
Hauptverfasser:	Anmin Liu, Weisi Lin, Narwaria, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.04.2012
Schlagworte:	Algorithms Contrast masking gradient similarity human visual system (HVS) Image coding Image edge detection Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image quality image quality assessment (IQA) Pattern Recognition, Automated - methods Quality Control Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted structural similarity (SSIM) Subtraction Technique Transform coding Visualization White noise
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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