Multispectral Images Compression Based on JPEG2000

Author

Wei, Junxia ; Wei, Ruyi ; Gao, Xiaohui ; Duan, Xiaofeng

Author_Institution

Key Lab. of Spectral Imaging Technol., Chinese Acad. of Sci., Xi´´an, China

fYear

2010

fDate

25-26 Dec. 2010

Firstpage

1

Lastpage

3

Abstract

Multispectral image compression which are based on the one-, two- and three-dimensional wavelet transforms has been existed in many papers. Existing image compression algorithms have proved to be very efficient in compressing these kinds of images. We adopted the principal component analysis,clustering and spectral angle cosine to classify and compress in spectral dimension.In this article, we present lossy compression based wavelet; the information loss is measured by Peak-Signal-to-Noise Ratio (PSNR). We introduce the spatial compression based on JPEG2000 and improved embedded zerotree (EZW) encoding. We use the different compression rate to compress image, when the compression rate is 10:1, subjective value and object value is optimal. Not only the single band, but also the composing image, the spectral curve is nearly same.

Keywords

image coding; principal component analysis; wavelet transforms; JPEG2000; embedded zerotree encoding; image compression; lossy compression based wavelet; multispectral images compression; object value; principal component analysis; spatial compression; spectral angle cosine; spectral curve; spectral dimension; subjective value; wavelet transforms; Bit rate; Image coding; PSNR; Pixel; Transform coding; Wavelet coefficients;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on

Conference_Location

Wuhan

ISSN

2156-7379

Print_ISBN

978-1-4244-7939-9

Electronic_ISBN

2156-7379

Type

conf

DOI

10.1109/ICIECS.2010.5677876

Filename

5677876