Title :
Research on Real-Time LLL Imaging Generation Method Based on GPU
Author :
Chen, Jun ; Yang, Kejian ; Yang, Jianwen ; Wang, Chunhua
Author_Institution :
Dept. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
Abstract :
After analyzing low light level (LLL) imaging and its noise characteristics in detail,the simulative model of LLL imaging is described. We use digital real-time calculate technique and realize the LLL scene computation model. Based on the proposed model and utilizing the parallelism and programmability of graphic processing unit (GPU), we proposed a method to solve the real-time simulation problem in 3D LLL Scene. This results in an efficient yet realistic method for rendering the LLL scene without requiring as much computational power.
Keywords :
image processing; rendering (computer graphics); graphic processing unit; real-time low light level imaging generation; rendering; scene computation model; Atmospheric modeling; Character generation; Computational modeling; Computer simulation; Computer vision; Layout; Military computing; Optical imaging; Optical reflection; Reflectivity;
Conference_Titel :
Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3489-3
DOI :
10.1109/ICACTE.2008.90
