Sciweavers

31 search results - page 1 / 7
» A two-stage framework for blind image quality assessment
Sort
View
ICIP
2010
IEEE
13 years 1 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
2006
IEEE
14 years 6 months ago
Two-Stage Optimal Component Analysis
Linear techniques are widely used to reduce the dimension of image representation spaces in applications such as image indexing and object recognition. Optimal Component Analysis ...
Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gal...
ICIP
2007
IEEE
14 years 6 months ago
Iterative Blind Image Motion Deblurring via Learning a No-Reference Image Quality Measure
In this paper, we propose a learning-based image restoration algorithm for restoring images degraded by uniform motion blurs. The motion blur parameters are first approximately es...
Wen-Hao Lee, Shang-Hong Lai, Chia-Lun Chen
ICIP
2006
IEEE
14 years 6 months ago
Spatial Pooling Strategies for Perceptual Image Quality Assessment
Many recently proposed perceptual image quality assessment algorithms are implemented in two stages. In the first stage, image quality is evaluated within local regions. This resu...
Zhou Wang, Xinli Shang
ICIP
2009
IEEE
14 years 5 months ago
Ppiq: A Probabilistic Framework For Image Quality Assessment
In this paper a framework for Image Quality Assessment (IQA) is introduced based on the properties of Receptive Fields (RFs) which are the primary mechanism for detection of visua...