A single-ended blockiness measure for JPEG-Coded images
Signal Processing
Quality measurement for monochrome compressed images in the past 25 years
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
DCT-domain blind measurement of blocking artifacts in DCT-coded images
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Monte Carlo Based Algorithm for Fast Preliminary Video Analysis
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
A Statistical Reduced-Reference Approach to Digital Image Quality Assessment
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Colour Image Quality Assessment Using Structural Similarity Index and Singular Value Decomposition
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Two-Dimensional Windowing in the Structural Similarity Index for the Colour Image Quality Assessment
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
An information fidelity criterion for image quality assessment using natural scene statistics
IEEE Transactions on Image Processing
An SVD-based grayscale image quality measure for local and global assessment
IEEE Transactions on Image Processing
Image information and visual quality
IEEE Transactions on Image Processing
Objective and subjective quality assessment between JPEG XR with overlap and JPEG 2000
Journal of Visual Communication and Image Representation
Image quality assessment based on distortion-aware decision fusion
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Hybrid feature similarity approach to full-reference image quality assessment
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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In the paper a new combined image quality metric is proposed, which is based on three methods previously described by various researchers. The main advantage of the presented approach is the strong linear correlation with the subjective scores without additional nonlinear mapping. The values and the obtained correlation coefficients of the proposed metric have been compared with some other state-of-art ones using two largest publicly available image databases including the subjective quality scores.