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CVPR
2012
IEEE
13 years 8 months 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
ICIP
2010
IEEE
15 years 3 months ago
A comparative study on quality assessment of high resolution fingerprint images
High resolution fingerprint images have been increasingly used in fingerprint recognition. They can provide more fine features (e.g. pores) than standard fingerprint images to imp...
Qijun Zhao, Feng Liu, Lei Zhang, David Zhang
ICASSP
2011
IEEE
14 years 9 months ago
CYCLOP: A stereo color image quality assessment metric
—In this work, a reduced reference (RR) perceptual quality metric for color stereoscopic images is presented. Given a reference stereo pair of images and their ”distorted” ve...
Aldo Maalouf, Mohamed-Chaker Larabi
ICIP
2002
IEEE
16 years 7 months ago
No-reference perceptual quality assessment of JPEG compressed images
Human observers can easily assess the quality of a distorted image without examining the original image as a reference. By contrast, designing objective No-Reference (NR) quality ...
Hamid R. Sheikh, Zhou Wang, Alan C. Bovik
JEI
2010
183views more  JEI 2010»
15 years 4 months ago
Content-weighted video quality assessment using a three-component image model
Abstract. Objective image and video quality measures play important roles in numerous image and video processing applications. In this work, we propose a new content-weighted metho...
Chaofeng Li, Alan Conrad Bovik