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Title |
Wavelet Denoising Using the Pareto Optimal Threshold |
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Author |
Yifeng Niu, Lincheng Shen |
| Citation |
Vol. 7 No. 1 pp. 30-34 |
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Abstract |
The denoising of a natural image corrupted by noise is a classical problem in image processing. In this paper, an efficient algorithm of image denoising based on multi-objective optimization in discrete wavelet transform (DWT) domain is proposed, which can achieve the Pareto optimal wavelet thresholds. First, the multiple objectives for image denoising are presented, then the relation between these objectives and the wavelet thresholds is analysed, finally the algorithm of adaptive multi-objective particle swarm optimization is introduced to optimize the wavelet thresholds. Experiments show that the Pareto optimal threshold-denoising algorithm is more effective than other algorithms, and can attain the Pareto optimal denoised image. |
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Keywords |
Image denoising, multi-objective optimization, particle swarm optimization, discrete wavelet transform, thresholding function |
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