Journal ArticleDOI
Most apparent distortion: full-reference image quality assessment and the role of strategy
Eric C. Larson,Damon M. Chandler +1 more
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TLDR
A quality assessment method [most apparent distortion (MAD)], which attempts to explicitly model these two separate strategies, local luminance and contrast masking and changes in the local statistics of spatial-frequency components are used to estimate appearance-based perceived distortion in low-quality images.Abstract:
The mainstream approach to image quality assessment has centered around accurately modeling the single most relevant strategy employed by the human visual system (HVS) when judging image quality (e.g., detecting visible differences, and extracting image structure/information). In this work, we suggest that a single strategy may not be sufficient; rather, we advocate that the HVS uses multiple strategies to determine image quality. For images containing near-threshold distortions, the image is most apparent, and thus the HVS attempts to look past the image and look for the distortions (a detection-based strategy). For images containing clearly visible distortions, the distortions are most apparent, and thus the HVS attempts to look past the distortion and look for the image's subject matter (an appearance-based strategy). Here, we present a quality assessment method [most apparent distortion (MAD)], which attempts to explicitly model these two separate strategies. Local luminance and contrast masking are used to estimate detection-based perceived distortion in high-quality images, whereas changes in the local statistics of spatial-frequency components are used to estimate appearance-based perceived distortion in low-quality images. We show that a combination of these two measures can perform well in predicting subjective ratings of image quality.read more
Citations
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A Risk-Aware Pairwise Rank Learning Approach for Visual Discomfort Prediction of Stereoscopic 3D
TL;DR: This letter proposes a novel Risk-Aware Pairwise Rank Learning (RAPRL) approach to further improve the prediction accuracy of visual discomfort prediction of stereoscopic 3D images and verified the effectiveness and robustness of the proposed VDP model using RAPRL as the learning algorithm.
Journal ArticleDOI
Image Enhancement by S-Shaped Curves Using Successive Approximation for Preserving Brightness
Damian Tohl,Jim S. Jimmy Li +1 more
TL;DR: This letter has developed a method to preserve either the mean or median image brightness by shifting the intersection point of S-shaped curves along the ${\mathbf y=x}$ line by successive approximation that can produce visually pleasing enhanced images and videos.
Journal ArticleDOI
Prospects of Structural Similarity Index for Medical Image Analysis
TL;DR: Previous studies implementing structural similarity in analyzing medical images from various imaging modalities are presented and structural similarity from the perspective of a family’s historical background, as well as progress made from the original to the recent structural similarity, are described.
Journal ArticleDOI
An Efficient and Training-Free Blind Image Blur Assessment in the Spatial Domain
David B. L. Bong,Bee Ee Khoo +1 more
TL;DR: A new blind blur metric is proposed which makes use of the reblur images to produce blur scores and has the advantages of fast computation and training-free operation.
Journal ArticleDOI
Statistical modeling in the shearlet domain for blind image quality assessment
TL;DR: Experimental results on benchmark databases illustrate that the proposed BIQA algorithm based on shearlet transform without using human scored images has a good consistency with the subjective assessment of human beings.
References
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Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Proceedings ArticleDOI
Multiscale structural similarity for image quality assessment
TL;DR: This paper proposes a multiscale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions, and develops an image synthesis method to calibrate the parameters that define the relative importance of different scales.
Journal ArticleDOI
Sparse Coding with an Overcomplete Basis Set: A Strategy Employed by V1 ?
TL;DR: These deviations from linearity provide a potential explanation for the weak forms of non-linearity observed in the response properties of cortical simple cells, and they further make predictions about the expected interactions among units in response to naturalistic stimuli.
Journal ArticleDOI
Efficient tests for normality, homoscedasticity and serial independence of regression residuals
Carlos M. Jarque,Anil K. Bera +1 more
TL;DR: In this paper, the Lagrange multiplier procedure is used to derive efficient joint tests for residual normality, homoscedasticity and serial independence, which are simple to compute and asymptotically distributed as χ2.
Journal ArticleDOI
Image information and visual quality
Hamid R. Sheikh,Alan C. Bovik +1 more
TL;DR: An image information measure is proposed that quantifies the information that is present in the reference image and how much of this reference information can be extracted from the distorted image and combined these two quantities form a visual information fidelity measure for image QA.