Title :
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
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;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1529812
