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
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Journal ArticleDOI
Perceptual image quality assessment using phase deviation sensitive energy features
Ashirbani Saha,Q. M. Jonathan Wu +1 more
TL;DR: Test the hypothesis that using the phase deviation sensitive energy features obtained from the log-Gabor filtered image instead of the noise adjusted, normalized phase congruency features will improve the general applicability of an FR-IQA measure, and reduce execution time by omitting noise circle calculation.
Proceedings ArticleDOI
Towards an Evaluation of Denoising Algorithms with Respect to Realistic Camera Noise
TL;DR: An approach to evaluate denoising algorithms with respect to realistic camera noise: a new camera noise model that includes the full processing chain of a single sensor camera is described and it is shown that the noise characteristics have a significant effect on visual quality.
Journal ArticleDOI
Comparison of Image Quality Models for Optimization of Image Processing Systems
TL;DR: This work evaluates eleven full-reference IQA models by using them as objective functions to train deep neural networks for four low-level vision tasks: denoising, deblurring, super-resolution, and compression.
Proceedings ArticleDOI
A perceptual quantization strategy for HEVC based on a convolutional neural network trained on natural images
TL;DR: A fast convolutional-neural- network based quantization strategy for HEVC is proposed that provides on average 11% improvements in compression efficiency for spatial luma channel of HEVC while requiring almost one hundredth of the computational time of an equivalent gain control model.
Journal ArticleDOI
Moth Swarm Algorithm for Image Contrast Enhancement
Alberto Luque-Chang,Erik Cuevas,Marco Pérez-Cisneros,Fernando Fausto,Arturo Valdivia-González,Ram Sarkar +5 more
TL;DR: The proposed approach has the propriety of eliminating noisy and irrelevant information in order to improve the distribution capacity of significant pixel intensities in the enhanced image.
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.