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ICIP
1998
IEEE
13 years 8 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli
ICMCS
2006
IEEE
178views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Spatially Adaptive Wavelet Thresholding for Image Watermarking
In this paper, we introduce a new robust image watermarking technique based on the Discrete Wavelet Transform (DWT). The proposed method extends the concept of image denoising to ...
Mahmood Al-khassaweneh, Selin Aviyente
JEI
2008
100views more  JEI 2008»
13 years 4 months ago
Context adaptive image denoising through modeling of curvelet domain statistics
We perform a statistical analysis of curvelet coefficients, distinguishing between two classes of coefficients: those that contain a significant noise-free component, which we call...
Linda Tessens, Aleksandra Pizurica, Alin Alecu, Ad...
ICIP
2000
IEEE
14 years 6 months ago
Spatially Adaptive Image Denoising Under OverComplete Expansion
This paper presents a novel wavelet-based image denoising algorithm under overcomplete expansion. In order to optimize the denoising performance, we make a systematic study of bot...
Xin Li, Michael T. Orchard