Image compression for memory constrained printers

Author

Cosman, Pamela ; Frajka, Tamás ; Zeger, Kenneth

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA

fYear

1998

fDate

4-7 Oct 1998

Firstpage

109

Abstract

We study memory efficient image compression techniques for color digital printers. Particular constraints imposed by printers are incorporated into the algorithms presented. We present a method for ordering the wavelet coefficient information in a compressed bit stream to allow a decoded image to be sequentially decompressed, from the top of an image to the bottom, as the paper exits the printer. In addition, we use a hybrid filtering scheme that uses different horizontal and vertical filters, each with different depths of wavelet decomposition

Keywords

data compression; decoding; filtering theory; image coding; printers; quadtrees; transform coding; wavelet transforms; algorithms; bit-stream re-ordering; color digital printers; decoder; horizontal filters; hybrid filtering; memory constrained printers; memory efficient image compression; memory requirements; quadtree-guided encoding; vertical filters; wavelet coefficient; wavelet decomposition; Costs; Data communication; Decoding; Image coding; Microcomputers; Printers; Printing; Transform coding; Wavelet coefficients; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.999002

Filename

999002