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International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)

Chen Ming
Chen Ming
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In this paper, the image denoising problem is studied using one additive noisy image and one multiplicative noisy image. We propose a new alternating iterative denoising (AID) algorithm combining the TVL1 model to remove additive noise with the AA model to wipe off multiplicative noise. In the AID algorithm, we firstly use the AA model to denoise for a multiplicative noisy image. Secondly, we make use of the TV -L1 model to denoise for the additive noisy image by setting the last restoration result as the initial value. Next, repeating the above steps by installing the last restoration result as the initial value, we can obtain very well restoration result only once or twice returns. Finally, we give some experimental results. The simulation results show that the AID algorithm is effective, stable and rapid.

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