Efficient coding of computer generated compound images

Author

Lin, Tony ; Hao, Pengwei ; Lee, Sang Uk

Author_Institution

Nat. Lab. on Machine Perception, Peking Univ., Beijing, China

Volume

1

fYear

2005

fDate

11-14 Sept. 2005

Abstract

A new compound image compression algorithm is proposed, based on shape primitive extraction and coding (SPEC). The SPEC first segments a compound image into text/graphics pixels and pictorial pixels, by extracting the shape primitives of text/graphics. Then all the shape primitives are losslessly compressed with a combined shape-based and palette-based coding algorithm. The remaining pictorial pixels are coded with JPEG2000. Experimental results show that the SPEC has very low complexity and provides visually lossless quality, while yielding competitive compression ratios.

Keywords

data compression; image coding; image resolution; image segmentation; computer generated compound images; image compression algorithm; image segmentation; palette-based coding algorithm; shape primitive extraction and coding; Clustering algorithms; Computer graphics; Data mining; Image coding; Image generation; Image segmentation; Laboratories; Pixel; Shape; Transform coding; compound image compression; compound image segmentation; palette-based coding; shape primitive extraction; shape-based coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2005. ICIP 2005. IEEE International Conference on

Print_ISBN

0-7803-9134-9

Type

conf

DOI

10.1109/ICIP.2005.1529812

Filename

1529812