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RISS 인기검색어
- 검색키워드
- 저자 : ( Huaxin Xiao ) (검색결과 3 건)
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- 유료
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A Noisy Videos Background Subtraction Algorithm Based on Dictionary Learning
( Huaxin Xiao ),( Yu Liu ),( Shuren Tan ),( Jiang Duan ),( Maojun Zhang ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.6
Most background subtraction methods focus on dynamic and complex scenes without considering robustness against noise. This paper proposes a background subtraction algorithm based on dictionary learning and sparse coding for handling low light conditions. The proposed method formulates background modeling as the linear and sparse combination of atoms in the dictionary. The background subtraction is considered as the difference between sparse representations of the current frame and the background model. Assuming that the projection of the noise over the dictionary is irregular and random guarantees the adaptability of the approach in large noisy scenes. Experimental results divided in simulated large noise and realistic low light conditions show the promising robustness of the proposed approach compared with other competing methods.
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Huaxin Wang,Xuan Peng,Yayi Huang,Yeda Xiao,Zhuo Wang,Liying Zhan 연세대학교의과대학 2019 Yonsei medical journal Vol.60 No.12
Purpose: The aim of this study was to investigate whether propofol could attenuate hypoxia/reoxygenation-induced apoptosisand autophagy in human renal proximal tubular cells (HK-2) by inhibiting JNK activation. Materials and Methods: HK-2 cells were treated with or without propofol or JNK inhibitor SP600125 for 1 hour and then subjectedto 15 hours of hypoxia and 2 hours of reoxygenation (H/R). Cell viability and LDH release were measured with commercial kits. Cell apoptosis was evaluated by flow cytometry. The expressions of p-JNK, cleaved-caspase-3, Bcl-2, and autophagy markers LC3and p62 were measured by Western blot or immunofluorescence. Results: HK-2 cells exposed to H/R insult showed higher cell injury (detected by increased LDH release and decreased cell viability),increased cell apoptosis index and expression of cleaved-caspase-3, a decrease in the expression of Bcl-2 accompanied byincreased expression of p-JNK and LC3II, and a decrease in expression of p62. All of these alterations were attenuated by propofoltreatment. Similar effects were provoked upon treatment with the JNK inhibitor SP600125. Moreover, the protective effects weremore obvious with the combination of propofol and SP600125. Conclusion: These results suggest that propofol could attenuate hypoxia/reoxygenation induced apoptosis and autophagy inHK-2 cells, probably through inhibiting JNK activation.
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A Kalman Filter based Video Denoising Method Using Intensity and Structure Tensor
( Yu Liu ),( Chenlin Zuo ),( Xin Tan ),( Huaxin Xiao ),( Maojun Zhang ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.8
We propose a video denoising method based on Kalman filter to reduce the noise in video sequences. Firstly, with the strong spatiotemporal correlations of neighboring frames, motion estimation is performed on video frames consisting of previous denoised frames and current noisy frame based on intensity and structure tensor. The current noisy frame is processed in temporal domain by using motion estimation result as the parameter in the Kalman filter, while it is also processed in spatial domain using the Wiener filter. Finally, by weighting the denoised frames from the Kalman and the Wiener filtering, a satisfactory result can be obtained. Experimental results show that the performance of our proposed method is competitive when compared with state-of-the-art video denoising algorithms based on both peak signal-to-noise-ratio and structural similarity evaluations.
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