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
Multi-Feature 360 Video Quality Estimation
Roberto Gerson de Albuquerque Azevedo,Neil Birkbeck,Ivan Janatra,Balu Adsumilli,Pascal Frossard +4 more
TL;DR: In this article, the authors proposed a new method for the visual quality assessment of 360-degree (omnidirectional) videos, which is based on computing multiple spatio-temporal objective quality features on viewports extracted from 360degree videos.
Proceedings ArticleDOI
Interval-valued JPEG decompression for artifact suppression
TL;DR: Experiments show visual improvement of JPEG decoding assessed by non-reference quality metric and the stopping criterion of the TV algorithm is given by this metric which provides evidence about JPEG decompression improvement.
Proceedings ArticleDOI
Video quality assessment based on correlation between spatiotemporal motion energies
Peng Yan,Xuanqin Mou +1 more
TL;DR: The spatiotemporal energy model has been validated to be high consistent with psychophysical experiments and the proposed FR-VQA model, named STME, is calculated with statistics based on the pixel-wise correlation between the total spatiotmporal motion energy maps of the reference and distorted videos.
Journal ArticleDOI
Spatial summation of broadband contrast.
TL;DR: The analysis demonstrates that classical psychophysical models can be adapted to computationally define visual mechanisms under broadband visual input, with the adapted models offering novel insight on the integration of signals across channels and space.
Journal ArticleDOI
Perceptual quality assessment of SAR image compression
TL;DR: An extensive subjective quality assessment experiment is carried out in which four different SAR image compression techniques are compared and a novel objective approach by taking into account the HVS and SAR image characteristics is proposed.
References
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Journal ArticleDOI
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.