The visible differences predictor: an algorithm for the assessment of image fidelity
Digital images and human vision
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A perceptually based adaptive sampling algorithm
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Color image fidelity metrics evaluated using image distortion maps
Signal Processing - Special issue on image and video quality metrics
A perceptually based physical error metric for realistic image synthesis
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
A ray tracing solution for diffuse interreflection
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
Realistic image synthesis using photon mapping
Realistic image synthesis using photon mapping
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Photographic tone reproduction for digital images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Evaluation of tone mapping operators using a High Dynamic Range display
ACM SIGGRAPH 2005 Papers
Lightcuts: a scalable approach to illumination
ACM SIGGRAPH 2005 Papers
Radiance Caching for Efficient Global Illumination Computation
IEEE Transactions on Visualization and Computer Graphics
A perceptual framework for contrast processing of high dynamic range images
ACM Transactions on Applied Perception (TAP)
Digital Video Image Quality and Perceptual Coding (Signal Processing and Communications)
Digital Video Image Quality and Perceptual Coding (Signal Processing and Communications)
Visual equivalence: towards a new standard for image fidelity
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH 2008 papers
ACM SIGGRAPH Asia 2008 papers
Perceptual visual quality metrics: A survey
Journal of Visual Communication and Image Representation
Full-Reference Image Quality Metrics: Classification and Evaluation
Foundations and Trends® in Computer Graphics and Vision
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
NoRM: No-Reference Image Quality Metric for Realistic Image Synthesis
Computer Graphics Forum
A no-reference metric for evaluating the quality of motion deblurring
ACM Transactions on Graphics (TOG)
Objective image quality assessment of texture compression
Proceedings of the 18th meeting of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
Temporally coherent adaptive sampling for imperfect shadow maps
EGSR '13 Proceedings of the Eurographics Symposium on Rendering
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Reliable detection of global illumination and rendering artifacts in the form of localized distortion maps is important for many graphics applications. Although many quality metrics have been developed for this task, they are often tuned for compression/transmission artifacts and have not been evaluated in the context of synthetic CG-images. In this work, we run two experiments where observers use a brush-painting interface to directly mark image regions with noticeable/objectionable distortions in the presence/absence of a high-quality reference image, respectively. The collected data shows a relatively high correlation between the with-reference and no-reference observer markings. Also, our demanding per-pixel image-quality datasets reveal weaknesses of both simple (PSNR, MSE, sCIE-Lab) and advanced (SSIM, MS-SSIM, HDR-VDP-2) quality metrics. The most problematic are excessive sensitivity to brightness and contrast changes, the calibration for near visibility-threshold distortions, lack of discrimination between plausible/implausible illumination, and poor spatial localization of distortions for multi-scale metrics. We believe that our datasets have further potential in improving existing quality metrics, but also in analyzing the saliency of rendering distortions, and investigating visual equivalence given our with- and no-reference data.