Sciweavers

230 search results - page 6 / 46
» Inpainted image quality assessment
Sort
View
ICIP
2009
IEEE
16 years 6 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...
APGV
2009
ACM
127views Visualization» more  APGV 2009»
15 years 10 months ago
A ghosting artifact detector for interpolated image quality assessment
—We present a no-reference image quality metric for image interpolation. The approach is capable of detecting blurry regions as well as ghosting artifacts, e.g., in image based r...
Kai Berger, Christian Lipski, Christian Linz, Anit...
CVPR
2009
IEEE
17 years 28 days ago
Learning Optimized MAP Estimates in Continuously-Valued MRF Models
We present a new approach for the discriminative training of continuous-valued Markov Random Field (MRF) model parameters. In our approach we train the MRF model by optimizing t...
Kegan G. G. Samuel, Marshall F. Tappen
ICIP
2010
IEEE
15 years 3 months ago
RFSIM: A feature based image quality assessment metric using Riesz transforms
Image quality assessment (IQA) aims to provide computational models to measure the image quality in a perceptually consistent manner. In this paper, a novel feature based IQA mode...
Lin Zhang, Lei Zhang, Xuanqin Mou
ICIP
2010
IEEE
15 years 3 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