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Highlights from
Wavelet based image compression using segmentation

from Wavelet based image compression using segmentation by THAYAMMAL SUBBURAJ
The optimal wavelet function in wavelet based image compression system was examined using different

comp_cel.m
clear all;
close all;

x1=[91.3779,90.0439,88.8215,88.7588,88.3489,87.6750,86.5733,86.4629,85.9404,84.0690,83.4448,82.9576,82.6020,80.7806,77.7927];
y1=[7.3673, 8.4488, 8.7514,8.5140, 9.3152, 8.6856,  9.3743,  8.6465,9.4060, 9.6871,9.4150,  9.8331, 9.8195, 9.1985, 9.9914];

x2=[89.7770,87.9276, 85.5066, 82.9440,80.8486];
y2=[8.6109, 8.6014,  8.6838,  8.5529,  8.6484];

x3=[88.7588, 88.9964,87.7697,85.6539,84.7630,81.7179,77.3059,70.2901,68.4673,52.6860];
y3=[ 8.5140, 8.5887, 8.4727, 8.4473, 8.4412, 8.3416, 8.2238, 8.0183, 8.1207, 7.6922];

plot(x1,y1,x2,y2,x3,y3);


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