DocumentCode :
3415875
Title :
A new compression technique for binary text images
Author :
Quddus, Azhar ; Fahmy, Moustafa M.
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fYear :
1997
fDate :
1-3 Jul 1997
Firstpage :
194
Lastpage :
198
Abstract :
In this paper a new lossless binary text image coding technique based on overlapping partitioning is presented. In this technique, the black regions in the image are first partitioned into a number of fully overlapping and nonoverlapping rectangles. After partitioning, the two opposite vertices of each rectangle are compressed using a simple encoding technique. It has been demonstrated that the compression ratios obtained for different text images are better than the nonoverlapping partitioning
Keywords :
data compression; image coding; image segmentation; black regions; compression ratios; compression technique; fully overlapping rectangles; lossless binary text image coding technique; nonoverlapping rectangles; overlapping partitioning; vertices; Arithmetic; Block codes; Decoding; Focusing; Image coding; Lapping; Minerals; Partitioning algorithms; Petroleum; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Communications, 1997. Proceedings., Second IEEE Symposium on
Conference_Location :
Alexandria
Print_ISBN :
0-8186-7852-6
Type :
conf
DOI :
10.1109/ISCC.1997.615995
Filename :
615995
Link To Document :
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