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- 저자 : Yan Bingxu (검색결과 2 건)
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Single Low-Light Ghost-Free Image Enhancement via Deep Retinex Model
( Yan Liu ),( Bingxue Lv ),( Jingwen Wang ),( Wei Huang ),( Tiantian Qiu ),( Yunzhong Chen ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.5
Low-light image enhancement is a key technique to overcome the quality degradation of photos taken under scotopic vision illumination conditions. The degradation includes low brightness, low contrast, and outstanding noise, which would seriously affect the vision of the human eye recognition ability and subsequent image processing. In this paper, we propose an approach based on deep learning and Retinex theory to enhance the low-light image, which includes image decomposition, illumination prediction, image reconstruction, and image optimization. The first three parts can reconstruct the enhanced image that suffers from low-resolution. To reduce the noise of the enhanced image and improve the image quality, a super-resolution algorithm based on the Laplacian pyramid network is introduced to optimize the image. The Laplacian pyramid network can improve the resolution of the enhanced image through multiple feature extraction and deconvolution operations. Furthermore, a combination loss function is explored in the network training stage to improve the efficiency of the algorithm. Extensive experiments and comprehensive evaluations demonstrate the strength of the proposed method, the result is closer to the real-world scene in lightness, color, and details. Besides, experiments also demonstrate that the proposed method with the single low-light image can achieve the same effect as multi-exposure image fusion algorithm and no ghost is introduced.
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Effect of reservoir properties on the heat extraction performance in multi-well production EGS
Liu Songze,Wei Jianguang,Liu Hongliang,Liu Xuemei,Yan Bingxu 한국자원공학회 2021 Geosystem engineering Vol.24 No.4
A multi-well production enhanced geothermal system (EGS) with discrete fracture network is designed for heat extraction in this study. A thermal-hydraulic numerical simulation model is established, and the effect of reservoir properties on heat extraction is investigated. The results show that the growth rate of heat extraction efficiency will decrease as the mining time increases. The initial reservoir temperature has a positive correlation with average production temperature which provides a broad space for the use of extracted thermal energy. The variation of initial reservoir pressure has little effect on the heat extraction performance. A higher matrix permeability leads to a higher average production temperature and heat extraction ratio which prompts more working fluid flow into the matrix, the heat transfer process is enhanced. Under the conditions of this study, the preferred initial reservoir temperature is 493.15 K, the matrix permeability is 10−14m2.
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