Sciweavers

89 search results - page 6 / 18
» Learning a Blind Measure of Perceptual Image Quality
Sort
View
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
JEI
2010
83views more  JEI 2010»
13 years 6 months ago
New image-quality measure based on wavelets
Abstract. We present an innovative approach to the objective quality evaluation that could be computed using the mean difference between the original and tested images in different...
Emil Dumic, Sonja Grgic, Mislav Grgic
CVPR
2006
IEEE
14 years 9 months ago
The Design of High-Level Features for Photo Quality Assessment
1 We propose a principled method for designing high level features for photo quality assessment. Our resulting system can classify between high quality professional photos and low...
Yan Ke, Xiaoou Tang, Feng Jing
TIFS
2008
179views more  TIFS 2008»
13 years 7 months ago
Blind Identification of Source Cell-Phone Model
The various image-processing stages in a digital camera pipeline leave telltale footprints, which can be exploited as forensic signatures. These footprints consist of pixel defects...
Oya Çeliktutan, Bülent Sankur, Ismail ...
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