A new compression-based image composition strategy on sort-last parallel rendering system

Author

He, Bing ; Zhang, Ji

Author_Institution

State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China

Volume

2

fYear

2010

fDate

16-18 Oct. 2010

Firstpage

787

Lastpage

792

Abstract

The cluster computer based parallel rendering is an effective method to build applications with better performance and higher resolution. Compression-based image composition is the key component of sort-last parallel rendering system. In this paper, we propose a set of strategies for compression-based image composition on sort-last parallel rendering system. Our strategy consists of three algorithms: A template-based LZW lossless compression method and a depth-buffer interpolation method to deal with the depth information of the images; A JPEG-based chromatic information compression method; and a composition method based on alpha blending. The experimental results show that our strategy is more effective than traditional compression based image composition strategies when used on sort-last parallel rendering system.

Keywords

data compression; image coding; parallel processing; rendering (computer graphics); workstation clusters; JPEG-based chromatic information compression; alpha blending; cluster computer; compression-based image composition; depth information; depth-buffer interpolation; sort-last parallel rendering system; template-based LZW lossless compression; Image coding; Image color analysis; Interpolation; Pixel; Propagation losses; Rendering (computer graphics); Depth Composition; Jpeg; Parallel Rendering; Template LZW;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2010 3rd International Congress on

Conference_Location

Yantai

Print_ISBN

978-1-4244-6513-2

Type

conf

DOI

10.1109/CISP.2010.5646719

Filename

5646719