Color image hybrid coding using correlation vectors and SPIHT Algorithm

Author

Chen, Yutuo ; Yu, Yi ; Yang, Zhiru

Author_Institution

Sch. of Comput. Sci., Central South Univ. of forestry & Technol., Changsha, China

fYear

2009

fDate

25-28 July 2009

Firstpage

244

Lastpage

249

Abstract

Paper presents a method for color image compression coding by using correlation vectors combined with SPIHT Algorithm. In this method, the Green component of a color image is coded using SPIHT Algorithm, and the other two components are segmented into multi-subregions by quadtree partitioning according to the non-correlation degree of three color components. Based on the calculated correlation vectors between three components in the same subregion, the coding for the other two components becomes the coding of correlation vectors. Experiment results show that this method is of high coding and decoding rates, and with quite good signal to noise ratio, compression rate and visual quality.

Keywords

correlation methods; data compression; image coding; image colour analysis; image segmentation; transforms; trees (mathematics); SPIHT algorithm; color image compression; color image hybrid coding; correlation vector; image segmentation; quadtree partitioning; Color; Colored noise; Computer science; Educational technology; Eyes; Image coding; Partitioning algorithms; Pixel; Signal to noise ratio; Space technology; SPIHT algorithm; correlation vector; hybrid coding; non-correlation degree; non-smoothness degree;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science & Education, 2009. ICCSE '09. 4th International Conference on

Conference_Location

Nanning

Print_ISBN

978-1-4244-3520-3

Electronic_ISBN

978-1-4244-3521-0

Type

conf

DOI

10.1109/ICCSE.2009.5228452

Filename

5228452