What's wrong with mean-squared error?
Digital images and human vision
Perceptual quality metrics applied to still image compression
Signal Processing - Special issue on image and video quality metrics
Image quality assessment based on perceptual structural similarity
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
A content-based image quality metric
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
A wavelet visible difference predictor
IEEE Transactions on Image Processing
Image quality assessment based on a degradation model
IEEE Transactions on Image Processing
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
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
IEEE Transactions on Image Processing
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for Natural Images
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A perceptually motivated three-component image model-Part I: description of the model
IEEE Transactions on Image Processing
A distortion measure for blocking artifacts in images based on human visual sensitivity
IEEE Transactions on Image Processing
Evaluation of temporal variation of video quality in packet loss networks
Image Communication
Content-based image quality metric using similarity measure of moment vectors
Pattern Recognition
Novel wavelet-based QIM data hiding technique for tamper detection and correction of digital images
Journal of Visual Communication and Image Representation
Fuzzy logic and temporal information applied to video quality assessment
Journal of Mobile Multimedia
MLSIM: A Multi-Level Similarity index for image quality assessment
Image Communication
SWVFS: a saliency weighted visual feature similarity metric for image quality assessment
Frontiers of Computer Science: Selected Publications from Chinese Universities
Modelling and Simulation in Engineering
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The assessment of image quality is important in numerous image processing applications. Two prominent examples, the Structural Similarity Image (SSIM) index and Multi-scale Structural Similarity (MS-SSIM) operate under the assumption that human visual perception is highly adapted for extracting structural information from a scene. Results in large human studies have shown that these quality indices perform very well relative to other methods. However, the performance of SSIM and other Image Quality Assessment (IQA) algorithms are less effective when used to rate blurred and noisy images. We address this defect by considering a four-component image model that classifies image local regions according to edge and smoothness properties. In our approach, SSIM scores are weighted by region type, leading to modified versions of (G-)SSIM and MS-(G-)SSIM, called four-component (G-)SSIM (4-(G-)SSIM) and four-component MS-(G-)SSIM (4-MS-(G-)SSIM). Our experimental results show that our new approach provides results that are highly consistent with human subjective judgment of the quality of blurred and noisy images, and also deliver better overall performance than (G-)SSIM and MS-(G-)SSIM on the LIVE Image Quality Assessment Database.