Adaptive Image De-noising Method Based on Spatial Autocorrelation-Reference-Cited by-同舟云学术

Adaptive Image De-noising Method Based on Spatial Autocorrelation

Published:2018 Issue: Volume: Page:
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Container-title:Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine - ISICDM 2018
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Author:

Lu Ronghui¹,Chen Tzong-Jer²

Affiliation:

1. Information Technology and Laboratory Management Center, Wuyi University, WuYiShan, FuJian, China

2. School of Information Engineering, Baise University, Baise, GuangXi, China

Publisher

ACM Press

Reference16 articles.

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2. Buades, A., Coll, B., & Morel, J. M. 2005. A Non-Local Algorithm for Image Denoising. Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on (Vol.2, pp.60--65 vol. 2). IEEE.

3. Zhang, X. H. 2011. A non-local means filter image denoising with directional enhancement neighborhood windows and non-subsampled shearlet feature descriptors. Journal of Electronics & Information Technology, 33(11), 2634--2639.

4. Xu, G., and Tan, J. 2012. Adaptive efficient non-local image filtering. Journal of Image & Graphics, 17 (4): 471--479.

5. Elfallah, A. I., and Ford, G. E. 1994. Nonlinear adaptive image filtering based on inhomogeneous diffusion and differential geometry. Proceedings of SPIE - The International Society for Optical Engineering, 2182, 49--63.

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