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CVPR
2012
IEEE
10 years 5 days ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
PAMI
2012
10 years 5 days ago
Altered Fingerprints: Analysis and Detection
—The widespread deployment of Automated Fingerprint Identification Systems (AFIS) in law enforcement and border control applications has heightened the need for ensuring that the...
Soweon Yoon, Jianjiang Feng, Anil K. Jain
ICASSP
2011
IEEE
11 years 1 months ago
RRED indices: Reduced reference entropic differencing framework for image quality assessment
We study the problem of automatic “reduced reference” image quality assessment algorithms from the point of view of image information change. Algorithms that measure differenc...
Rajiv Soundararajan, Alan C. Bovik
ICIP
2010
IEEE
11 years 7 months ago
A two-stage framework for blind image quality assessment
Most present day no-reference/blind image quality assessment (NR IQA) algorithms are distortion specific - i.e., they assume that the distortion affecting the image is known. Here...
Anush K. Moorthy, Alan C. Bovik
ICIP
2007
IEEE
12 years 1 months ago
Does where you Gaze on an Image Affect your Perception of Quality? Applying Visual Attention to Image Quality Metric
The aim of an objective image quality assessment is to find an automatic algorithm that evaluates the quality of pictures or video as a human observer would do. To reach this goal...
Alexandre Ninassi, Olivier Le Meur, Patrick Le Cal...
MMM
2005
Springer
152views Multimedia» more  MMM 2005»
12 years 3 months ago
Learning No-Reference Quality Metric by Examples
In this paper, a novel learning based method is proposed for No-Reference image quality assessment. Instead of examining the exact prior knowledge for the given type of distortion...
Hanghang Tong, Mingjing Li, HongJiang Zhang, Chang...
ICIP
2008
IEEE
12 years 11 months ago
Segmentation-based Perceptual Image Quality Assessment (SPIQA)
Computational representation of perceived image quality is a fundamental problem in computer vision and image processing, which has assumed increased importance with the growing r...
Bernard Ghanem, Esther Resendiz, Narendra Ahuja
ICIP
2008
IEEE
12 years 11 months ago
General-purpose reduced-reference image quality assessment based on perceptually and statistically motivated image representatio
Divisive normalization has been recognized as a successful approach to model the perceptual sensitivity of biological vision. It also provides a useful image representation that i...
Qiang Li, Zhou Wang

Source Code
5000views
13 years 9 months ago
SSIM Index for Image Quality Assessment
The Structural SIMilarity (SSIM) index is a novel method for measuring the similarity between two images. The SSIM index can be viewed as a quality measure of one of the images bei...
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