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» Learning a Blind Measure of Perceptual Image Quality
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ICASSP
2010
IEEE
13 years 7 months ago
No-reference image sharpness assessment based on local phase coherence measurement
Sharpness is one of the most determining factors in the perceptual assessment of image quality. Objective image sharpness measures may play important roles in the design and optim...
Rania Hassen, Zhou Wang, Magdy Salama
CVPR
2001
IEEE
14 years 9 months ago
Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback
A new scheme of learning similarity measure is proposed for content-based image retrieval (CBIR). It learns a boundary that separates the images in the database into two parts. Im...
Guodong Guo, Anil K. Jain, Wei-Ying Ma, HongJiang ...
ICIP
2009
IEEE
13 years 5 months ago
No-reference temporal quality metric for video impaired by frame freezing artefacts
This paper describes a no-reference temporal quality metric to model the impact of frame freezing impairments on perceived video quality. The proposed metric shows a high correlat...
Quan Huynh-Thu, Mohammed Ghanbari
CVPR
2006
IEEE
14 years 1 months ago
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
ICIP
2008
IEEE
14 years 9 months ago
Measuring the Global Phase Coherence of an image
The Fourier phase spectrum of an image is well known to contain crucial information about the image geometry, in particular its contours. In this paper, we show that it is also st...
Bernard Rougé, Gwendoline Blanchet, Lionel ...