No-reference JPEG-2000 image quality metric
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Combined frequency and spatial domain algorithm for the removal of blocking artifacts
EURASIP Journal on Applied Signal Processing
No reference image quality assessment for JPEG2000 based on spatial features
Image Communication
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
No-reference video quality assessment for MPEG-2 video streams using BP neural networks
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
No-reference image quality assessment in contourlet domain
Neurocomputing
A blind reference-free blockiness measure
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
No-reference image quality assessment using structural activity
Signal Processing
Visual metrics for the evaluation of sensor data quality in outdoor perception
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop
A new reduced reference metric for color plus depth 3D video
Journal of Visual Communication and Image Representation
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A method for DCT-domain blind measurement of blocking artifacts is proposed. By constituting a new block across any two adjacent blocks, the blocking artifact is modeled as a 2-D step function. A fast DCT-domain algorithm has been derived to constitute the new block and extract all parameters needed. Then an human visual system (HVS) based measurement of blocking artifacts is conducted. Experimental results have shown the effectiveness and stability of our method. The proposed technique can be used for online image/video quality monitoring and control in applications of DCT-domain image/video processing.