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Image De-noising Algorithms Using Wavelet Shrinkage

WANG Sheng qian1, XIONG Xiao hua 2 (1.Institute of Image Comm & Info.Processing,Shanghai Jiaotong University,Shanghai 200030,China;2.Institute of Physical & Communication & Electronics,Jiangxi Normal University,Nanchang 330027,China)  
In this paper,a new method is presented by means of the neural network based on wavelet shrinkage to image de noising.In the algorithm,we introduce a new wavelet shrinkage function (a cubic spline) to process wavelet coefficients.The algorithm overcomes the shortage in hard thresholding and soft thresholding algorithms because the wavelet shrinkage function has better smooth characteristics,and is implemented by the neural network.The result of experiment proves a better achievable PSNR than de noising methods by hard thresholding and soft thresholding algorithms and the learning performance are superior to the conventional methods.
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