JPEG-LS码率控制算法改进及硬件实现

陈聪; 张学全; 周盛雨

doi:10.11728/cjss2018.06.944

JPEG-LS码率控制算法改进及硬件实现

doi: 10.11728/cjss2018.06.944

1. 中国科学院国家空间科学中心北京 100190;
2. 中国科学院大学北京 100049

基金项目:

国家重大科学仪器设备开发专项项目（2013YQ030595）和国家自然科学基金项目（61474123）共同资助

详细信息

作者简介:
陈聪,E-mail:applecc@vip.qq.com

中图分类号: V443
计量
- 文章访问数: 1046
- HTML全文浏览量: 71
- PDF下载量: 455
- 被引次数: 0
出版历程
- 收稿日期: 2017-11-01
- 修回日期: 2018-06-14
- 刊出日期: 2018-11-15

Improvement and Hardware Implementation for Bit Rate Control Algorithm of JPEG-LS

1. National Space Science Center, Chinese Academy of Sciences, Beijing 100190;
2. University of Chinese Academy of Sciences, Beijing 100049

摘要

摘要: JPEG-LS码率控制算法是一种基于上下文建模的无损/近无损图像压缩标准，具有实现方法简单、占用资源少等优点，适用于卫星图像压缩等硬件资源有限的场合.该算法在近无损压缩模式下码率不可控制.在对JPEG-LS算法进行分析的基础上，提出一种新的基于动态码率表的JPEG-LS码率控制算法，并将新算法应用于硬件设计中.测试结果表明，新算法比现有算法码率控制精度更高，压缩后恢复图像信噪比及结构相似比更高.将该算法在Xilinx Virtex4平台上实现，最高运行频率达60MHz，可以满足星载系统对图像压缩的需求.
- JPEG-LS /
- 星载图像压缩 /
- 码率控制
Abstract: JPEG-LS is a lossless/near-lossless image compression standard based on context modeling. Because of the simplicity and little occupation of resource, it is suitable for satellite image compression where the hardware resource is limited. However, in JPEG-LS near-lossless mode, the bit rate is difficult to control. To solve this problem, a new bit rate control algorithm based on dynamic rate table is proposed based on JPEG-LS. Test results show that the new algorithm is more efficient comparing with the existent bit rate control algorithm. The quality of reconstruction image is also better in the aspects of Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSI). The rate control algorithm can be implemented on Xilinx Virtex4, in which the slice occupancy rate is 21% and the synthesized clock frequency is 60MHz. It can satisfy the demand of satellite image compression.
- JPEG-LS /
- Satellite image compression /
- Bit rate control

HTML全文

参考文献(13)

[1]	ZHAO Jiaxin. Design and Efficient Hardware Implementation of Onboard Satellite Image Compression System[D]. Xi'an: Xidian University, 2010 (赵嘉鑫. 星载图像压缩系统设计与高效硬件实现[D]. 西安: 西安电子科技大学, 2010)
[2]	SUN Xinzhe, Tang Shengquan. The development of optical remote sensing technology and its application to the active tectonics research[J]. Seismol. Geology, 2016, 38(1):211-220 (孙鑫喆, 唐声权. 光学遥感技术的发展及其在活动构造研究中的应用[J]. 地震地质, 2016, 38(1): 211-220)
[3]	XIAO Xuemin. Research and Implementation of JPEG2000 Satellite Image Compression[D]. Changsha: National University of Defense Technology, 2007 (肖学敏. JPEG2000卫星图像压缩方法的研究与实现[D]. 长沙: 国防科学技术大学, 2007)
[4]	WEINBERGER M J, S EROUSSI G, S APIRO G. The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS[J]. IEEE Trans. Image Proc., 2000, 9(8):1309-1324
[5]	RANE S D, SAPIRO G. Evaluation of JPEG-LS, the new lossless and controlled-lossy still image compression standard, for compression of High-resolution elevation data[J]. IEEE Trans. Geosci. Remote Sens., 2001, 39(10):2298-2306
[6]	LI Hengjian, WANG Lianhai, ZHANG Jiashu. Secure palmprint image coding algorithm for JPEG-LS[J]. Computer Science, 2013, 40(09):141-146, 181 (李恒建, 王连海, 张家树. 基于JPEG-LS的高效掌纹图像安全编码算法[J]. 计算机科学, 2013, 40(09):141-146, 181)
[7]	PADONIKOLAKIS M E, KAKAROUNTAS A P, GOUTIS C E. Efficient High-Performance ASIC implementation of JPEG-LS encoder[J]. J. Real-Time Image Proc., 2008, 3(4):303-310
[8]	MAO Jiafa, NIU Xinxin, YANG Yixian, et al. JPEG2000 image maximum steganography payload based on MPUI model[J]. J. Software, 2014, 25(7):1606-1620 (毛家发, 钮心忻, 杨义先, 等. 基于MPUI模型的JPEG2000图像最大隐写容量[J]. 软件学报, 2014, 25(7):1606-1620)
[9]	CHEN Yigang, DENG Jiaxian, XIE Kaiming. Image compression encryption algorithm based on compression ratio control of JPEG-LS[J]. J. Comput. Appl., 2015, 35(01):93-98 (陈益刚, 邓家先, 谢凯明. 基于JPEG-LS压缩比控制的图像压缩加密算法[J]. 计算机应用, 2015, 35(01):93-98)
[10]	XU Yanling, LIU Bei. Dynamic rate control scheme for JPEG-LS image compression[J]. Comput. Eng., 2008, 34(7):238-239, 271 (徐燕凌, 刘蓓. JPEG-LS 图像压缩动态码率控制策略[J]. 计算机工程, 2008, 34(7):238-239, 271)
[11]	ZHANG Yi, LEI Jie, LI Yunsong. A novel dynamic rate control algorithm for JPEG-LS based on empirical data table[J]. J. Electron. Inf. Technol., 2014, 36(4):823-827 (张毅, 雷杰, 李云松. 一种新的基于先验数据表的JPEG-LS动态码率控制算法[J]. 电子与信息学报, 2014, 36(4):823-827)
[12]	YANG Haigang, SUN Jiabin, WANG Wei. An overview of FPGA device design technologies[J]. J. Electron. Inf. Technol., 2010, 32(3):714-727 (杨海钢, 孙嘉斌, 王慰. FPGA器件设计技术发展综述[J]. 电子与信息学报, 2010, 32(3):714-727)
[13]	ZHANG Yi. Hardware Implementation of Rate Controlled JPEG-LS Near Lossless Image Compression Encoder[D]. Xi'an: Xidian University, 2014 (张毅. 码率可控的JPEG-LS近无损图像压缩编码器硬件实现[D]. 西安: 西安电子科技大学, 2014)