Abstract
A method called compressed sensing image de-noising method based on wavelet decomposition was presented. In view of lack of sparsity in the above method, A new method called compressed sensing image de-noising method based on regularization of wavelet decomposition was presented, First, the image signal was decomposed by multi-scale wavelet, then high-frequency coefficients of each level was divided into two positive and negative by regularization; each level high-frequency coefficients was sampled by compressed sensing, and measured coefficients can be acquired; At last, measured coefficients was reconstructed, and then de-noising image can be acquired according to inverse wavelet transform. The simulation show that regularization can effectively increase the capacity of compressed sensing de-noising.
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Fu, H., Tao, H., Zhang, B., Lu, J. (2012). Compressed Sensing Image De-noising Method Based on Regularization of Wavelet Decomposition. In: Jin, D., Lin, S. (eds) Advances in Computer Science and Information Engineering. Advances in Intelligent and Soft Computing, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30126-1_28
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DOI: https://doi.org/10.1007/978-3-642-30126-1_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30125-4
Online ISBN: 978-3-642-30126-1
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