ICIP
2010
IEEE
14 years 7 days ago
2010
IEEE
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
ICIP
2010
IEEE
14 years 7 days ago
2010
IEEE
An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted ...
ICIP
2010
IEEE
14 years 7 days ago
2010
IEEE
The popular Richardson-Lucy (RL) image deconvolution algorithm often produces undesirable ringing artifacts. In this paper, we propose a novel Dual Range Deringing (DRD) algorithm...
ICIP
2010
IEEE
14 years 7 days ago
2010
IEEE
As digital images have been propagated all over the world, identification techniques for image sources become more important. In this paper, we analyze properties of the scanner a...
HVEI
2010
14 years 8 days 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 ...
FOCS
2010
IEEE
14 years 9 days ago
2010
IEEE
We initiate the study of testing properties of images that correspond to sparse 0/1-valued matrices of size n
BMVC
2010
14 years 9 days ago
2010
Markov random field pixel labelling is often used to obtain image segmentations in which each segment or region is labelled according to its attributes such as colour or texture. ...
BMVC
2010
14 years 9 days ago
2010
The standard approach to multi-modal registration is to apply sophisticated similarity metrics such as mutual information. The disadvantage of these measures, in contrast to simpl...
BMVC
2010
14 years 9 days ago
2010
The Texture Fragmentation and Reconstruction (TFR) algorithm has been recently introduced [9] to address the problem of image segmentation by textural properties, based on a suita...
BMVC
2010
14 years 9 days ago
2010
A feature-preserving non-local means (FP-NLM) filter has been developed recently for denoising images containing small and weak particlelike objects. It explores the commonly used...