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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Journal ArticleDOI
In Praise of Artifice Reloaded: Caution With Natural Image Databases in Modeling Vision.
TL;DR: A solution for the problem of basic visual phenomena being misrepresented in large natural image datasets is outlined by using artificial stimuli and by proposing a modification that makes the model easier to tune is outlined.
Proceedings ArticleDOI
Multi-task rank learning for image quality assessment
TL;DR: The experimental results confirm that the proposed Multi-task Rank Learning based IQA (MRLIQ) approach is prominent among all state-of-the-art NR-IQA approaches and a novel no-reference (NR) IQA approach can be derived.
Journal ArticleDOI
Full-Reference Image Quality Metrics Performance Evaluation Over Image Quality Databases
TL;DR: The visual information fidelity (VIF) quality metric has been found to have superior predictive capabilities to its counterparts and MS-SSIM, MSSIM and VIFP have also closer performances in terms of their correlation to the subjective human ratings, accuracy and monotonicity to the VIF model.
Journal ArticleDOI
Perceptual quality evaluation for image defocus deblurring
TL;DR: A quality enhancement module is proposed based on Gray Level Co-occurrence Matrix (GLCM), which is mainly used to measure the loss of texture naturalness caused by deblurring, and demonstrates the effectiveness of the proposed method.
Proceedings ArticleDOI
SCID: A database for screen content images quality assessment
TL;DR: Experimental results show that the existing IQA metrics do not be able to evaluate the perceptual quality of SCIs well and an IQA metric specifically for SCIs is thus desirable and the proposed SCID is constructed.
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.