What's wrong with mean-squared error?
Digital images and human vision
Digital Image Processing
On the Development of a Reduced-Reference Perceptual Image Quality Metric
ICW '05 Proceedings of the 2005 Systems Communications
No-reference JPEG-image quality assessment using GAP-RBF
Signal Processing
No-reference image quality assessment based on DCT domain statistics
Signal Processing
No-reference noticeable blockiness estimation in images
Image Communication
Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standards
Image and Video Compression for Multimedia Engineering: Fundamentals, Algorithms, and Standards
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
IEEE Transactions on Image Processing
Quality Evaluation of Motion-Compensated Edge Artifacts in Compressed Video
IEEE Transactions on Image Processing
Noise estimation for blocking artifacts reduction in DCT coded images
IEEE Transactions on Circuits and Systems for Video Technology
Blocking artifacts suppression in block-coded images using overcomplete wavelet representation
IEEE Transactions on Circuits and Systems for Video Technology
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Block based transform coding is one of the most popular techniques for image and video compression. However it suffers from several visual quality degradation factors, most notably from blocking artifacts. The subjective picture quality degradation caused by blocking artifacts, in general, does not agree well with the popular objective quality measure such as PSNR. A new image quality assessment method that detects and measures strength of blocking artifacts for block based transform coded images is proposed. In order to characterize the blocking artifacts, we utilize two observations: if blocking artifacts occur on the block boundary, the pixel value changes abruptly across the boundary and the same pixel values usually span along the entire length of the boundary. The proposed method operates only on a single block boundary to detect blocking artifacts. When a boundary is classified as having blocking artifacts, corresponding blocking artifact strength is also computed. Average values of those blocking artifact strengths are converted into a single number representing the subjective image quality. Experiments on various JPEG compressed images with various bit rates demonstrated that the proposed blocking artifacts measuring value matches well with the subjective image quality judged by human observers.