DocumentCode
3503747
Title
Binary tree image coding based on region
Author
Jun, Guo ; Rongchun, Zhao ; Chongguang, Zhu
Author_Institution
Inst. of Remote Sensing Applications, Acad. Sinica, China
Volume
2
fYear
1996
fDate
14-18 Oct 1996
Firstpage
990
Abstract
A new image coding method based on the image region is proposed. According to the features of the image gray surface, an image is partitioned into many convex polygons which approximate the original image as closely as possible. The experimental results show that a good reconstructed image quality can still be obtained when the data compression ratio is more than 20:1 and the SNR is more than 30 dB
Keywords
data compression; feature extraction; image coding; image reconstruction; image segmentation; trees (mathematics); SNR; binary tree image coding; convex polygons; data compression ratio; experimental results; image gray surface features; image region; partitioned image; reconstructed image quality; Binary trees; Birds; Content addressable storage; Data compression; Image coding; Image reconstruction; Image segmentation; Pixel; Remote sensing; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 1996., 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2912-0
Type
conf
DOI
10.1109/ICSIGP.1996.566257
Filename
566257
Link To Document