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» Quantifying Perceptual Image Quality
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ICIP
2008
IEEE
14 years 9 months ago
A perceptually adaptive approach to image denoising using anisotropic non-local means
This paper introduces a novel perceptually adaptive approach to image denoising using anisotropic non-local means. In the classical non-local means image denoising approach, the v...
Alexander Wong, Paul W. Fieguth, David A. Clausi
NOLISP
2007
Springer
14 years 1 months ago
Quantitative Perceptual Separation of Two Kinds of Degradation in Speech Denoising Applications
Classical objective criteria evaluate speech quality using one quantity which embed all possible kind of degradation. For speech denoising applications, there is a great need to d...
Anis Ben Aicha, Sofia Ben Jebara
ICIP
2006
IEEE
14 years 9 months ago
Subjective Image Quality Tradeoffs Between Spatial Resolution and Quantization Noise
The importance of tradeoffs between spatial resolution and quantization noise has been examined in our previous work. Subjective experiments indicate that as the bitrate decreases...
Soo Hyun Bae, Thrasyvoulos N. Pappas, Biing-Hwang ...
JSW
2008
106views more  JSW 2008»
13 years 7 months ago
Hierarchical Image Segmentation by Structural Content
Image quality loss resulting from artifacts depends on the nature and strength of the artifacts as well as the context or background in which they occur. In order to include the im...
Nathir A. Rawashdeh, Shaun T. Love, Kevin D. Donoh...
SIGPRO
2008
116views more  SIGPRO 2008»
13 years 7 months ago
Adaptive bilateral filtering of image signals using local phase characteristics
This paper presents a novel perceptually based method for noise reduction of image signals characterized by low signal to noise ratios. The proposed method exploits the local phas...
Alexander Wong