5 search results - page 1 / 1 » Unsupervised feature learning framework for no-reference ima... |
CVPR
2012
IEEE
11 years 6 months ago
2012
IEEE
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...
ICIP
2007
IEEE
14 years 6 months ago
2007
IEEE
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...
HVEI
2010
13 years 2 months ago
2010
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...