DocumentCode
1593229
Title
A fast segmentation algorithm for bi-level image compression using JBIG2
Author
Tompkins, Dave A D ; Kossentini, Faouzi
Author_Institution
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
Volume
1
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
224
Abstract
The emerging JBIG2 standard allows compliant encoders to achieve very high compression rates on bi-level images, especially when images are properly segmented into regions of line-art, halftones and text. We propose a fast method that is very effective at separating text from non-text regions, even when the regions are nonrectangular or have skew. Our method can also detect regions of reverse-coloured text. In most cases, our method increases the compression performance of the encoder. More importantly, our method can improve encoding speeds considerably, often by an order of magnitude
Keywords
data compression; encoding; image coding; image segmentation; JBIG2; bi-level image compression; compression performance; encoders; fast segmentation algorithm; reverse-coloured text; very high compression rates; Decoding; Dictionaries; Facsimile; Gray-scale; Image coding; Image segmentation; Internet; Optical character recognition software; Optimization methods; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-5467-2
Type
conf
DOI
10.1109/ICIP.1999.821602
Filename
821602
Link To Document