计算机应用 ›› 2012, Vol. 32 ›› Issue (04): 1141-1143.DOI: 10.3724/SP.J.1087.2012.01141

• 图形图像技术 • 上一篇    下一篇

基于小波变换的彩色图像RGB分量同分裂编码算法

邱自华1,胡娟1,杨华2   

  1. 1. 湖南理工学院 计算机学院,湖南 岳阳 414006
    2. 巴陵石油化工有限责任公司 生产部,湖南 岳阳 414014
  • 收稿日期:2011-09-15 修回日期:2011-11-28 发布日期:2012-04-20 出版日期:2012-04-01
  • 通讯作者: 邱自华
  • 作者简介:邱自华(1975-),女,湖南岳阳人,讲师,硕士,主要研究方向:数字图像编码;
    胡娟(1977-),女,湖南岳阳人,讲师,硕士,主要研究方向:计算机图像处理、数字图像编码;
    杨华(1972-),男,湖南岳阳人,工程师,主要研究方向:数字图像编码、计算机图像处理。
  • 基金资助:
    湖南省教育厅资助科研项目

Compression of color image with 2D wavelet transform by set-partitioning RGB color components synchronously

QIU Zi-hua1,HU Juan1,YANG Hua2   

  1. 1. College of Computer Science, Hunan Institute of Science and Technology, Yueyang Hunan 414006, China
    2. Production Department, Baling Petrochemical Corporation Limited, Yueyang Hunan 414014, China
  • Received:2011-09-15 Revised:2011-11-28 Online:2012-04-20 Published:2012-04-01
  • Contact: QIU Zi-hua

摘要: 针对传统彩色图像编码算法没有充分利用彩色图像RGB色彩分量之间的相关性的缺点,在多级树分裂算法(SPIHT)的基础上提出RGB分量同分裂彩色图像编码算法。此算法充分利用RGB分量的相关性,将RGB分量看作是一个整体,利用SPIHT算法中的LIS链表,对它们同扫描,同分裂。生成的嵌入式码流在任意点中断时,解码出来的都是包含RGB三分量的彩色图像。实验结果表明,在相同压缩比下,此算法解码图像的PSNR一般比JPEG2000的高出0.1~0.7dB。

关键词: 小波变换, 彩色图像, 压缩编码, 多级树分裂算法, RGB色彩分量

Abstract: Concerning that the conventional color image coding algorithm does not take advantage of the dependency of the RGB color components, a new algorithm of set-partitioning RGB color components synchronously based on the Set Partitioning In Hierarchical Trees (SPIHT) algorithm was proposed. In this algorithm, RGB color components were treated as a whole, partition was sorted and set at the same time by using the same list of LIS. The color embedded bit-stream generated by this algorithm can stop at any point of the bit-stream and reconstruct the color image. The simulation results show the Peak Signal-to-Noise Ratio (PSNR) of the new algorithm on test images is about 0.1dB to 0.70 dB higher than JPEG2000s.

Key words: wavelet transform, color image, image coding, Set Partitioning In Hierarchical Trees (SPIHT), RGB Color components

中图分类号: