CIOMP OpenIR  > 中科院长春光机所知识产出
Extremum Median Filter Map Denoising Algorithm Based on Energy Function
Wang, M.; J. Zhao; T. Chen; B. Cui and Y. Gao
2017
Source PublicationDianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume39Issue:6
AbstractThe star maps acquired by the ground-based cameras are susceptible to the complex background of the starry sky and thus have high noise levels. In addition, the targets in star maps are similar to the noises due to their punctate shapes. As a result, the traditional image denoising method is not applicable to star maps. A new adaptive extremum median filtering denoising algorithm is put forward based on energy function, which can effectively remove the salt and pepper noise of the star maps and keep the small target information at the same time. This method employs a twice-check strategy to reduce the false detection ratio of noisy pixels and uses the improved adaptive median filter and the energy function model to recovery noise imagery. The simulated and real star map experiments show that, the Peak Signal to Noise Ratio (PSNR) is improved about 3 times and the Mean Squared Error (MSE) is reduced by 3.16 10-5in the terms of objective evaluations, the proposed method can effectively improve the denoising result and thus is applicable to star maps. 2017, Science Press. All right reserved.
Indexed Byei
Language中文
Document Type期刊论文
Identifierhttp://ir.ciomp.ac.cn/handle/181722/59265
Collection中科院长春光机所知识产出
Recommended Citation
GB/T 7714
Wang, M.,J. Zhao,T. Chen,et al. Extremum Median Filter Map Denoising Algorithm Based on Energy Function[J]. Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology,2017,39(6).
APA Wang, M.,J. Zhao,T. Chen,&B. Cui and Y. Gao.(2017).Extremum Median Filter Map Denoising Algorithm Based on Energy Function.Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology,39(6).
MLA Wang, M.,et al."Extremum Median Filter Map Denoising Algorithm Based on Energy Function".Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology 39.6(2017).
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