Journals
  Publication Years
  Keywords
Search within results Open Search
Please wait a minute...
For Selected: Toggle Thumbnails
Parallel computation for image denoising via total variation dual model on GPU
ZHAO Mingchao, CHEN Zhibin, WEN Youwei
Journal of Computer Applications    2016, 36 (5): 1228-1231.   DOI: 10.11772/j.issn.1001-9081.2016.05.1228
Abstract572)      PDF (556KB)(455)       Save
The problem of Total Variation (TV)-based image denoising was considered. Since the traditional serial computation speed based on Central Processing Unit (CPU) was low, a parallel computation based on Graphics Processing Unit (GPU) was proposed. The dual model of the total variation-based image denoising was derived and the relationship between the primal variable and the dual variable was considered. The projected gradient method was applied to solve the dual model. Numerical results obtained by CPU and GPU show that the algorithm implemented by GPU is more efficient than that by CPU, and with the increasing of image size, the advantage of GPU parallel computing is more outstanding.
Reference | Related Articles | Metrics