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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
ICIP
1999
IEEE
14 years 9 months ago
Optimum Watermark Detection in Color Images
This work concentrates on the problem of watermarking embedding and optimum detection in color images through the use of spread spectrum techniques, both in space (Direct Sequence...
Elisa Sayrol, Josep Vidal, Silvia Cabanillas, Soni...
ISMIR
2005
Springer
137views Music» more  ISMIR 2005»
14 years 1 months ago
Extracting Quality Parameters for Compressed Audio from Fingerprints
An audio fingerprint is a compact yet very robust representation of the perceptually relevant parts of audio content. It can be used to identify audio, even when of severely dist...
Peter Jan O. Doets, Reginald L. Lagendijk
ICMCS
2006
IEEE
138views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Perceptual Sharpness Metric (PSM) for Compressed Video
Sharpness, one of the most effective factors in video quality assessment, usually dominates the first impression of the representation of the compressed video or image signals. I...
Kai-Chieh Yang, Clark C. Guest, Pankaj K. Das
CVPR
2012
IEEE
11 years 10 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