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ICMCS
2008
IEEE
118views Multimedia» more  ICMCS 2008»
14 years 4 months ago
Noise filtering method for color images based on LDA and nonlinear diffusion
The purpose of noise filtering for images is to preserve features such as edge or corners in images, while reducing noise. Recent noise filtering algorithms based on diffusion e...
Woong Hee Kim, Thomas Sikora
SIAMSC
2010
141views more  SIAMSC 2010»
13 years 8 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
CVPR
2007
IEEE
14 years 11 months ago
Sensor noise modeling using the Skellam distribution: Application to the color edge detection
In this paper, we introduce the Skellam distribution as a sensor noise model for CCD or CMOS cameras. This is derived from the Poisson distribution of photons that determine the s...
Youngbae Hwang, Jun-Sik Kim, In-So Kweon
ICDAR
2009
IEEE
13 years 7 months ago
Clutter Noise Removal in Binary Document Images
The paper presents a clutter detection and removal algorithm for complex document images. The distance transform based approach is independent of clutter's position, size, sh...
Mudit Agrawal, David S. Doermann
ICPR
2004
IEEE
14 years 10 months ago
Grey Scale Image Skeletonisation from Noise-Damped Vector Potential
This paper describes a method for curvature dependant Skeletonisation in grey-scale images. We commence from a magnetostatic analogy, where the tangential edge flow (the cross pro...
Edwin R. Hancock, Huaijun Qiu