Verification of rendering quality from measured BTFs
APGV '06 Proceedings of the 3rd symposium on Applied perception in graphics and visualization
Quality assessment metrics vs. PSNR under packet lossscenarios in manet wireless networks
Proceedings of the international workshop on Workshop on mobile video
Saliency-Based Image Quality Assessment Criterion
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
An Image Quality Metric Based on a Colour Appearance Model
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Watermarking Security Incorporating Natural Scene Statistics
Information Hiding
Perceivable artifacts in compressed video and their relation to video quality
Image Communication
A Hybrid Image Quality Measure for Automatic Image Quality Assessment
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
Image Quality Assessment Based on Multi-scale Geometric Analysis
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Photo assessment based on computational visual attention model
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Feature correlation evaluation approach for iris feature quality measure
Signal Processing
Image Quality Assessment Using Spatial Frequency Component
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Quality assessment of digital television picture based on local feature matching
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Motion tuned spatio-temporal quality assessment of natural videos
IEEE Transactions on Image Processing
No-reference image quality assessment in contourlet domain
Neurocomputing
Assessment of color video quality based on quaternion singular value decomposition
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 4
An HVS based adaptive quantization scheme for the compression of color images
Digital Signal Processing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Content-partitioned structural similarity index for image quality assessment
Image Communication
MR contrast synthesis for lesion segmentation
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Image quality assessment by discrete orthogonal moments
Pattern Recognition
Personalized photograph ranking and selection system
Proceedings of the international conference on Multimedia
Proceedings of the international conference on Multimedia
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
Security analysis of ISS watermarking using natural scene statistics
IH'10 Proceedings of the 12th international conference on Information hiding
A differential-geometrical framework for color image quality measures
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Missing texture reconstruction method based on perceptually optimized algorithm
EURASIP Journal on Advances in Signal Processing
Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
The application of genetic algorithm based support vector machine for image quality evaluation
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Sparse correlation coefficient for objective image quality assessment
Image Communication
Learning-based image restoration for compressed images
Image Communication
Content-based image quality metric using similarity measure of moment vectors
Pattern Recognition
Full-Reference Image Quality Metrics: Classification and Evaluation
Foundations and Trends® in Computer Graphics and Vision
A novel full-reference video quality assessment metric for multimedia broadcasting systems
Journal of Mobile Multimedia
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
A hybrid system for distortion classification and image quality evaluation
Image Communication
A new image fusion performance metric based on visual information fidelity
Information Fusion
Proceedings of the Winter Simulation Conference
A perceptual metric for stereoscopic image quality assessment based on the binocular energy
Multidimensional Systems and Signal Processing
Wave atoms based compression method for fingerprint images
Pattern Recognition
Optimized selection of key frames for monocular videogrammetric surveying of civil infrastructure
Advanced Engineering Informatics
Medical image denoising using adaptive fusion of curvelet transform and total variation
Computers and Electrical Engineering
Full-reference quality assessment of stereopairs accounting for rivalry
Image Communication
Instantaneous Video Quality Assessment for lightweight devices
Proceedings of International Conference on Advances in Mobile Computing & 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
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Measurement of visual quality is of fundamental importance to numerous image and video processing applications. The goal of quality assessment (QA) research is to design algorithms that can automatically assess the quality of images or videos in a perceptually consistent manner. Traditionally, image QA algorithms interpret image quality as fidelity or similarity with a "reference" or "perfect" image in some perceptual space. Such "full-reference" QA methods attempt to achieve consistency in quality prediction by modeling salient physiological and psychovisual features of the human visual system (HVS), or by arbitrary signal fidelity criteria. In this paper, we approach the problem of image QA by proposing a novel information fidelity criterion that is based on natural scene statistics. QA systems are invariably involved with judging the visual quality of images and videos that are meant for "human consumption". Researchers have developed sophisticated models to capture the statistics of natural signals, that is, pictures and videos of the visual environment. Using these statistical models in an information-theoretic setting, we derive a novel QA algorithm that provides clear advantages over the traditional approaches. In particular, it is parameterless and outperforms current methods in our testing. We validate the performance of our algorithm with an extensive subjective study involving 779 images. We also show that, although our approach distinctly departs from traditional HVS-based methods, it is functionally similar to them under certain conditions, yet it outperforms them due to improved modeling. The code and the data from the subjective study are available at [1].