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 :
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