caa a22 4500 606199357 CHVBK 20210128100938.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s11045-013-0264-1 doi (NATIONALLICENCE)springer-10.1007/s11045-013-0264-1 Novel explanation, modeling and realization of Lattice Boltzmann methods for image processing [Elektronische Daten] [Zhuangzhi Yan, Yubiao Sun, Jiehui Jiang, Junling Wen, Xiaoman Lin] Image processing is a cost-effective technology in various applications. Partial differential equation (PDE) methods are popular when realizing image processing. However, computational speed of existing PDE methods cannot meet requirements in practice. To solve this problem, scholars proposed a novel method: Lattice Boltzmann (LB) model. Although LB model has already been applied for image denoising, inpainting and segmentation, its explanation is not systematically concluded and a general LB model for image processing is missing, which resulted in previous investigations difficult to be scaled up. The purpose of this paper is to explore the explanation of LB model for image processing, and propose a general LB mathematical model. To test the feasibility of the proposed LB model, we did several comparison experiments. The comparison results showed that the proposed LB model augmented CPU calculating speed and kept good image processing effect. Springer Science+Business Media New York, 2013 Partial differential equation (PDE) nationallicence Lattice Boltzmann (LB) model nationallicence Image processing nationallicence Denoising nationallicence Inpainting nationallicence Segmentation nationallicence Yan Zhuangzhi School of Communication and Information Engineering, Shanghai University, Shanghai, China aut Sun Yubiao School of Communication and Information Engineering, Shanghai University, Shanghai, China aut Jiang Jiehui School of Communication and Information Engineering, Shanghai University, Shanghai, China aut Wen Junling School of Communication and Information Engineering, Shanghai University, Shanghai, China aut Lin Xiaoman School of Communication and Information Engineering, Shanghai University, Shanghai, China aut Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/3(2015-07-01), 645-663 0923-6082 26:3<645 2015 26 11045 https://doi.org/10.1007/s11045-013-0264-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11045-013-0264-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yan Zhuangzhi School of Communication and Information Engineering, Shanghai University, Shanghai, China aut NATIONALLICENCE 700 1- Sun Yubiao School of Communication and Information Engineering, Shanghai University, Shanghai, China aut NATIONALLICENCE 700 1- Jiang Jiehui School of Communication and Information Engineering, Shanghai University, Shanghai, China aut NATIONALLICENCE 700 1- Wen Junling School of Communication and Information Engineering, Shanghai University, Shanghai, China aut NATIONALLICENCE 700 1- Lin Xiaoman School of Communication and Information Engineering, Shanghai University, Shanghai, China aut NATIONALLICENCE 773 0- Multidimensional Systems and Signal Processing Springer US; http://www.springer-ny.com 26/3(2015-07-01), 645-663 0923-6082 26:3<645 2015 26 11045