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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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 21; no. 4; pp. 1500 - 1512
Main Authors:	Anmin Liu, Weisi Lin, Narwaria, M.
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.04.2012
Subjects:	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 Access:	Get full text
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