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ICASSP
2010
IEEE
13 years 6 months ago
An estimation method for the relative phase parameters of complex wavelet coefficients in noise
This paper proposes a method to estimate the parameters of the relative phase probability density function (RP pdf) of the complex coefficients when the image is corrupted by add...
Yothin Rakvongthai, Soontorn Oraintara
CIVR
2005
Springer
154views Image Analysis» more  CIVR 2005»
13 years 11 months ago
A Novel Texture Descriptor Using Over-Complete Wavelet Transform and Its Fractal Signature
In the paper, we proposed a novel feature descriptor using over-complete wavelet transform and wavelet domain based fractal signature for texture image analysis and retrieval. Trad...
Qing Wang, David Dagan Feng
CVPR
2012
IEEE
11 years 8 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
TCSV
2008
124views more  TCSV 2008»
13 years 6 months ago
A Novel Look-Up Table Design Method for Data Hiding With Reduced Distortion
Look-up table (LUT)-based data hiding is a simple and efficient technique to hide secondary information (watermark) into multimedia work for various applications such as copyright ...
Xiao-Ping Zhang, Kan Li, Xiaofeng Wang
NIPS
2008
13 years 7 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung