Fractal Image Coding Based on High Order Spectrum Using Nonparametric Estimation

摘要：

This paper presents a new strategy to speed up the encoding process for fractal image compression. First, the range blocks are obtained by partitioning the image using adaptive quadtrees. Then we extract the high-order spectrum based on nonparametric double-spectrum estimation to constitute the eigenvector for the image block which size is larger than 4 ×4. The lower dimension kd-tree structure is to be created while orthogonal projecting these eigenvectors of high-order spectrum for the image block.The fractal code is quickly obtained by using nearest neighbor searching algorithm and quantizing the transform parameters. The experimental results show that,in comparison with conventional methods, the proposed algorithm can provide better speed-up and image quality under the same compression ratio.

作者: Zhenming Peng Tao Chen Shengjun Tian Heping Zhao Fanbin Meng

作者单位: College of Optic-Electronic Information University of Electronic Science and Technology of China Che College of physics science and information engineering Jishou University Jishou 416000, China

会议类型: 国际会议

会议名称: 2007年通信、电路与系统国际会议(2007 International Conference on Communications,Circuits and Systems Proceedings)

会议地点: 日本福冈

会议语种:英文

在线出版日期: 2007-07-11（万方平台首次上网日期，不代表论文的发表时间）