DocumentCode
2880884
Title
Research on Progressive Coding of Remote Image Based on Region of Interest
Author
Deng Shujun ; Qian Haizhong ; Sun Bing
Author_Institution
Inst. of Surveying & Mapping, Inf. Eng. Univ., Zhengzhou, China
fYear
2012
fDate
1-3 June 2012
Firstpage
1
Lastpage
4
Abstract
In application of remote image, users often specially focus on some areas named region of interest and hope data in these areas to be coded and transmitted preferentially. Progressive coding technology based on ROI can meet the demand of users very well. This paper firstly analyzes some deficiency of traditional ROI coding methods, then put forward a novel progressive coding method based on ROI. The core idea of this method is that, on the basis of regular wavelet subband, separate high frequency subband into high frequency ROI subband and high frequency BG subband and rearrange transformed wavelet subbands, then realize progressive coding from low frequency subband, high frequency ROI subband to high frequency BG subband. Experiment shows the method advanced in this paper is effective and superior.
Keywords
geophysical image processing; image coding; remote sensing; ROI coding methods; high frequency ROI subband; progressive coding; region of interest; regular wavelet subband; remote sensing image; Bit rate; Decoding; Encoding; Image coding; Image reconstruction; Wavelet coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2012 2nd International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-0872-4
Type
conf
DOI
10.1109/RSETE.2012.6260700
Filename
6260700
Link To Document