DocumentCode
3187681
Title
PC-based image compression using adaptive rectangular segmentation
Author
Desoky, Ahmed ; O´Connor, C. ; Cahill, Chris
Author_Institution
Louisville Univ., KY, USA
fYear
1993
fDate
4-7 Apr 1993
Firstpage
0.791666666666667
Abstract
A method of image compression, along with its suitability for PC-implementation, is considered. The compressed file is a description of a set of rectangular segments of the image whose pixels all have approximately the same intensity. The compression process developed in this work was implemented on a PC 33 MHz-386 machine using Turbo C-2.0. The process produces a binary tree of rectangular segments whose pixel intensity variance is below a given amount. It does this by recursively dividing rectangular image segments into two, preferably along lines of high intensity gradient. The divisions are found by trying every possible horizontal and vertical cut for the segment. The process is accelerated by two preprocessed moment tables that replace much of the repetitive calculating. The resulting segments are compactly described in the compressed file. The decompression routine recreates the same binary tree to place and fill the segments
Keywords
IBM compatible machines; IBM computers; data compression; image segmentation; microcomputer applications; 33 MHz; 386 personal computer; IBM compatible PC; IBM machine; Turbo C-2.0; adaptive rectangular segmentation; binary tree; compressed file; decompression routine; high intensity gradient; image compression; image segmentation; pixel intensity variance; preprocessed moment tables; rectangular image segments; Acceleration; Binary trees; Data compression; Humans; Image coding; Image segmentation; Length measurement; Pixel; Shape; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Southeastcon '93, Proceedings., IEEE
Conference_Location
Charlotte, NC
Print_ISBN
0-7803-1257-0
Type
conf
DOI
10.1109/SECON.1993.465758
Filename
465758
Link To Document