Comparison Between Block-Encoding and Quadtree Compression Methods for Raster Maps

被引：0
|
作者：
Wai, Phyo Phyo [1 ]
Hlaing, Su Su [1 ]
Mon, Khin Lay [1 ]
Tin, Mie Mie [1 ]
Khin, Mie Mie [1 ]
机构：
[1] Myanmar Inst Informat Technol, MIIT, Mandalay, Myanmar
来源：
BIG DATA ANALYSIS AND DEEP LEARNING APPLICATIONS | 2019年 / 744卷
关键词：
Quadtree; Block-Encoding; Lossless compression;
D O I：
10.1007/978-981-13-0869-7_29
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The compression methods are essential for big data, such as maps, images and large data, because the storage spaces are more required as long as data are being overloading. In this paper, quadtree compression method and block-encoding compression method are compared by their lossless compression results based on the raster maps. Quadtree is a method which is very mature and popular in segmentation and compression area. Block-encoding method is a 2D version of run-length encoding method.
引用
收藏
页码：258 / 263
页数：6
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