Image quality: a multidimensional problem
Digital images and human vision
The use of psychophysical data and models in the analysis of display system performance
Digital images and human vision
Estimation of edge parameters and image blur using polynomial transforms
CVGIP: Graphical Models and Image Processing
An objective measure for perceived noise
Signal Processing
Signal Processing - Special issue on image and video quality metrics
JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
A distortion measure for blocking artifacts in images based on human visual sensitivity
IEEE Transactions on Image Processing
No-reference JPEG-2000 image quality metric
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
The hermite transform: a survey
EURASIP Journal on Applied Signal Processing
No-reference image quality assessment based on DCT domain statistics
Signal Processing
No-reference image quality assessment using modified extreme learning machine classifier
Applied Soft Computing
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
A blind reference-free blockiness measure
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
A new image quality assessment model based on the MPEG-7 descriptor
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Combined full-reference image quality metric linearly correlated with subjective assessment
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Visual quality assessment algorithms: what does the future hold?
Multimedia Tools and Applications
GAP-RBF based NR image quality measurement for JPEG coded images
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
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In three subjective experiments, dissimilarity data and numerical category scaling data were obtained to determine the underlying attributes of image quality in sequential baseline-coded JPEG images. Although several distortions were perceived, namely blockiness, ringing and blur, the subjective data for all attributes were highly correlated, so that image quality could approximately be described in one dimension. We therefore proceeded by developing an instrumental measure for one of the distortions, namely, blockiness. In this paper a single-ended blockiness measure is proposed, i.e., one that uses only the coded image. Our approach is therefore fundamentally different from most (double-ended) image quality models that need both the original and the degraded image. The proposed measure is based on detecting the low-amplitude edges that result from blocking and estimating the edge amplitudes. Because of the approximate one-dimensionality of the underlying psychological space, the proposed blockiness measure also predicts the image quality of sequential baseline coded JPEG images.