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Proceedings ArticleDOI

No-reference image quality assessment using Gabor-based smoothness and latent noise estimation

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TLDR
The algorithm employs an extension of gradient-based SSIM into the no-reference application using SVD-based AWGN estimation, and defines attributes such as Gabor-based smoothness and contrast deviation, and arrives at an overall quality score by computing a linear weighted summation of the three image attributes.
Abstract
No-reference image quality assessment is a challenging task due to the absence of a reference image in practical situations to quantify image quality. This paper proposes a new no-reference image quality metric for natural images using latent noise estimation, Gabor response, and contrast deviation. The algorithm employs an extension of gradient-based SSIM into the no-reference application using SVD-based AWGN estimation, and defines attributes such as Gabor-based smoothness and contrast deviation. The proposed metric arrives at an overall quality score by computing a linear weighted summation of the three image attributes. The proposed algorithm has been tested on several public databases (i.e. LIVE, TID 2013 and CSIQ), and the overall results display a noteworthy correlation of nearly 80% with the human visual system.

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Citations
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Proceedings ArticleDOI

Image glossiness from curvelet features using SVM-based classification

TL;DR: By training a support vector machine (SVM) classifier using curvelet coefficient features of images of varying naturalness, a framework to predict no-reference glossiness index for any general query image is proposed and validated.
Proceedings ArticleDOI

Comparative study of basic and hybrid filters for the reduction of noise in Estampages

TL;DR: Noise reduction techniques are applied on Estampage images, which are the exact replica of inscriptions and are the source of the authors' ancient history to preserve and processing for future.
References
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Journal ArticleDOI

P‐14: An Image Processing Model of Contrast Perception and Discrimination of the Human Visual System

TL;DR: An multi-layered image processing model of the primary visual system was built to simulate the center-surround effect on apparent contrast perception and contrast discrimination at the suprathreshold level, and revealed that the mechanisms for apparent Contrast Perception and Contrast discrimination were instinctually different.
Proceedings ArticleDOI

No-Reference image quality assessment using gradient-based structural integrity and latent noise estimation

TL;DR: A no-reference IQA metric based on the hypothesis that every image has latent additive white Gaussian noise (AWGN), referred to as the NRGSI, is proposed, which is characterized by its comparison with subjective quality scores given by ten subjects, and with a classical perceptual quality measure.
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