A fast progressive lossless image compression method for space and satellite images

Author(s):  
Jun Takada ◽  
Shuji Senda ◽  
Hiroki Hihara ◽  
Masahiro Hamai ◽  
Takeshi Oshima ◽  
...  
2009 ◽  
Vol 2009 ◽  
pp. 1-13 ◽  
Author(s):  
Rung-Ching Chen ◽  
Pei-Yan Pai ◽  
Yung-Kuan Chan ◽  
Chin-Chen Chang

This paper is intended to present a lossless image compression method based on multiple-tables arithmetic coding (MTAC) method to encode a gray-level imagef. First, the MTAC method employs a median edge detector (MED) to reduce the entropy rate off. The gray levels of two adjacent pixels in an image are usually similar. A base-switching transformation approach is then used to reduce the spatial redundancy of the image. The gray levels of some pixels in an image are more common than those of others. Finally, the arithmetic encoding method is applied to reduce the coding redundancy of the image. To promote high performance of the arithmetic encoding method, the MTAC method first classifies the data and then encodes each cluster of data using a distinct code table. The experimental results show that, in most cases, the MTAC method provides a higher efficiency in use of storage space than the lossless JPEG2000 does.


Sign in / Sign up

Export Citation Format

Share Document