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
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;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.566257
