JPEG2000 compression for remote sensing images with precise quality control

被引：0

作者：

Song, Bei-Bei ^{[1
]}

Sun, Wen-Fang ^{[2
]}

机构：

[1] School of Information Engineering, Chang'an University

[2] China Academy of Space Technology (Xi'an)

来源：

Guangxue Jingmi Gongcheng/Optics and Precision Engineering | 2013年 / 21卷 / 08期

关键词：

Image compression; Image quality; JPEG2000; Remote sensing image; Wavelet transform;

D O I：

10.3788/OPE.20132108.2180

中图分类号：

学科分类号：

摘要：

A remote sensing image JPEG2000 compression scheme with precise quality control was proposed. According to the perfect reconstruction of wavelet filter banks and the statistical independence of subband coefficient quantization error, a mathematical expression formula was established to describe the relation between the peak signal to noise ratio and the wavelet coefficient quantization error. Based on the traditional JPEG2000 rate distortion model, a distortion-based rate minimization model was constructed and optimization truncation coding stream to obtain a desired target image compression quality was given. An experiment on standard test images and satellite remote sensing image was performed and obtained results were compared with that of the conventional rate-based distortion minimization JPEG2000 encoding. Results indicate that the new method has the same coding structure and computing complexity, and it can accurately control the compression image quality with an average control precision less than 1%. In addition, this proposed method has higher global compression image peak signal to noise ratio at the same total coding rate for sequence remote sensing images.

引用

页码：2180 / 2186

页数：6

共 17 条

[1] Taubman D., High-performance scalable image compression with EBCOT, IEEE Transactions on Image Processing, 9, 7, pp. 1158-1170, (2000)
[2] Taubman D., Marcellin M., JPEG2000 Image Compression Fundamentals, Standards and Practice, (2002)
[3] Meng W., Jin L.X., Han S.L., Design of VLSI architecture of 2D lifting wavelet and FPGA verification, Chinese Journal of Liquid Crystals and Displays, 26, 3, pp. 404-408, (2011)
[4] Du L.B., Xiao X.M., Luo W.S., Et al., Quantification removing for satellite on-board remote image JPEG2000 compression algorithm, Opt. Precision Eng., 17, 3, pp. 690-694, (2009)
[5] Taubman D.
[6] Michael D.A., JasPer software
[7] OpenJPEG home page
[8] Du W.N., Sun J., Ni Q., An efficient rate control scheme for JPEG2000, Journal of Shang Hai Jiao Tong University, 40, 1, pp. 16-19, (2006)
[9] Zhuang H.Y., Researches on high efficiency rate control for embed image coding, (2006)
[10] Francesc A.L., Joan S.S., JPEG2000 quality scalability without quality layers, IEEE Transactions on Circuits and Systems for Video Technology, 18, 7, pp. 923-936, (2008)

← 1 2 →