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» Similarity based impulsive noise removal in color images
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CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 7 months ago
A Comparative Study of Removal Noise from Remote Sensing Image
This paper attempts to undertake the study of three types of noise such as Salt and Pepper (SPN), Random variation Impulse Noise (RVIN), Speckle (SPKN). Different noise densities ...
Salem Saleh Al-amri, Namdeo V. Kalyankar, Santosh ...
ICIP
2009
IEEE
14 years 8 months ago
Fast Implementation Of Vector Directional Filters
Vector filters based on order-statistics have proved successful in removing impulsive noise from color images while preserving edges and fine image details. Among these filters, t...
CAIP
2001
Springer
166views Image Analysis» more  CAIP 2001»
14 years 1 days ago
Application of Adaptive Hypergraph Model to Impulsive Noise Detection
In this paper, using hypergraph theory, we introduce an image model called Adaptive Image Neighborhood Hypergraph (AINH). From this model we propose a combinatorial definition of ...
Soufiane Rital, Alain Bretto, Driss Aboutajdine, H...
CORR
2010
Springer
109views Education» more  CORR 2010»
13 years 2 months ago
Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces
The goal of this paper is the development of a novel approach for the problem of Noise Removal, based on the theory of Reproducing Kernels Hilbert Spaces (RKHS). The problem is ca...
Pantelis Bouboulis, Sergios Theodoridis
ICDAR
2011
IEEE
12 years 7 months ago
A Chinese Character Localization Method Based on Intergrating Structure and CC-Clustering for Advertising Images
—In this paper, a novel Chinese character localization method is proposed for texts in advertising images. To deal with the texts with gradient color, a color clustering method b...
Jie Liu, Shuwu Zhang, Heping Li, Wei Liang