Graphic Processor Unit Acceleration of Multi-exposure Image Fusion with Median Filter

2020 ◽  
pp. 591-601
Author(s):  
Shijie Li ◽  
Yuan Yuan ◽  
Qiong Li ◽  
Xuchao Xie
Keyword(s):  
Image Fusion ◽  
Median Filter ◽  
Graphic Processor Unit ◽  
Graphic Processor ◽  
Processor Unit

Three Dimensional Simulation of Ion Thruster Plume-Spacecraft Interaction Based on a Graphic Processor Unit

2013 ◽  
Vol 15 (7) ◽  
pp. 702-709 ◽  
Author(s):  
Junxue Ren ◽  
Juan Li ◽  
Kan Xie ◽  
Huabing Tian ◽  
Qian Qiu ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Graphic Processor Unit ◽  
Ion Thruster ◽  
Graphic Processor ◽  
Dimensional Simulation ◽  
Processor Unit

scholarly journals Accelerating the Sweep3D for a Graphic Processor Unit

2011 ◽  
Vol 7 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Chunye Gong ◽  
Jie Liu ◽  
Haitao Chen ◽  
Jing Xie ◽  
Zhenghu Gong
Keyword(s):  
Graphic Processor Unit ◽  
Graphic Processor ◽  
Processor Unit

Particle simulation of ion thruster using parallel computation on graphic processor unit

2011 ◽  
Vol 23 (2) ◽  
pp. 507-511
Author(s):  
仇钎 Qiu Qian ◽  
刘宇 Liu Yu ◽  
任军学 Ren Junxue ◽  
汤海滨 Tang Haibin ◽  
钟凌伟 Zhong Lingwei ◽  
...  
Keyword(s):  
Parallel Computation ◽  
Particle Simulation ◽  
Graphic Processor Unit ◽  
Ion Thruster ◽  
Graphic Processor ◽  
Processor Unit

An Image Fusion Method Based on the Combination of Lifting Wavelet and Median Filter

2014 ◽  
Vol 530-531 ◽  
pp. 394-402
Author(s):  
Ze Tao Jiang ◽  
Li Wen Zhang ◽  
Le Zhou
Keyword(s):  
Image Fusion ◽  
High Frequency ◽  
Median Filter ◽  
Low Frequency ◽  
Weighted Average ◽  
Fusion Rule ◽  
Fusion Method ◽  
Frequency Scale ◽  
Lifting Wavelet ◽  
Image Fusion Method

At present, image fusion universally exists problem that fuzzy edge, sparse texture. To solve this problem, this study proposes an image fusion method based on the combination of Lifting Wavelet and Median Filter. The method adopts different fusion rules. For the low frequency coefficient, the low frequency scale coefficients have had the convolution do the square respectively to get enhanced edge of the image fusion. Then the details information of original image is extracted by measuring region characteristics. For high frequency coefficient, the high frequency parts are denoised by the Median Filter, and then neighborhood spatial frequency and consistency verification fusion rule is adopted to the fusion of detail sub-images. Compared with Weighted Average and Regional Energy , experimental results show that edge and texture information are the most. Method in study solves the fuzzy edge and sparse texture in a certain degree,which has strong practical value in image fusion.

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