Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
Jianhong Zhou
Jianhong Zhou
Search for other works by this author on:
No. of Pages:
ASME Press
Publication date:

Among the conventional algorithms of colorization, color transfer algorithm is the most common one. However, the traversal matching of each pixel is inevitable in the case of target color image. Though existing some improved methods of color correlation based, they make little sense on large resolution images and grayscale video rendering. This paper focuses on the use of CUDA, GPU general parallel computing platform, which is rapidly developed in recent years, accelerating colorization and adopting Secondary Coloring method to eliminate the effects of noise. The experimental results imply better acceleration.

Key Words
1 Introduction
2 Previous Work
3 Secondary Colorization Method
4 CUDA Acceleration Principle
5 Results and Discussion
6 Summaries
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal