Image Denoising based on Back Propagation Neural Network and Wavelet Decomposition
نویسندگان
چکیده
In this paper, an image denoising method based on back propagation neural network and wavelet decomposition is proposed. The wavelet decomposition coefficient of the image with noise is used as the training sample input, and the high frequency coefficient of the original image is used as the expected output to train the BP network. The obtained network can remove the noise in the image better. The experimental results are compared with the results of denoising using mean filtering, median filtering and Wiener filtering. The comparison results also show that the proposed method has some merits such as eliminating the noise of point and line regions.
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