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» Modeling non-gaussian noise for robust image analysis
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ICIP
2005
IEEE
14 years 9 months ago
Segmenting small regions in the presence of noise
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Rashi Samur, Vitali Zagorodnov
IBPRIA
2007
Springer
14 years 1 months ago
Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising
Abstract. Tracking the Left Ventricle (LV) in ultrasound sequences remains a challenge due to speckle noise, low SNR and lack of contrast. Therefore, it is usually difficult to obt...
Jacinto C. Nascimento, João M. Sanches, Jor...
TIFS
2008
120views more  TIFS 2008»
13 years 7 months ago
Determining Image Origin and Integrity Using Sensor Noise
In this paper, we provide a unified framework for identifying the source digital camera from its images and for revealing digitally altered images using photo-response nonuniformit...
Mo Chen, Jessica J. Fridrich, Miroslav Goljan, Jan...
CVPR
2008
IEEE
13 years 9 months ago
Motion blur identification from image gradients
Restoration of a degraded image from motion blurring is highly dependent on the estimation of the blurring kernel. Most of the existing motion deblurring techniques model the blur...
Hui Ji, Chaoqiang Liu
ICDAR
2005
IEEE
14 years 1 months ago
Skew Estimation for Scanned Documents from "Noises"
The vast majority of the published skew estimation methods for scanned document images are for textual documents. These methods are based on the principle that the skew angles can...
Bo Yuan, Chew Lim Tan