首页> 外文会议>Image Analysis and Recognition pt.1; Lecture Notes in Computer Science; 4141 >Fast and Efficient Basis Selection Methods for Embedded Wavelet Packet Image Coding
【24h】

Fast and Efficient Basis Selection Methods for Embedded Wavelet Packet Image Coding

机译:嵌入式小波包图像编码的快速有效基础选择方法

获取原文
获取原文并翻译 | 示例

摘要

Wavelet packet (WP) image coding algorithms have shown consistent improvement over those based on wavelet transform. However, most of the current work cannot produce an embedded bit stream, since an embedded WP image coding method requires a valid and uniform decomposition for a given image. In this paper, based on the idea of maximizing variance of each subband, we propose two rate-unrelated basis selection criteria for embedded image coding. According to these criteria, efficient decompositions are found by growing the decomposition tree once or by pruning the full decomposition tree once. The experimental results show that, with the same subband coding scheme, the proposed basis selection methods achieve better coding performance than that of previous selection criteria. Comparison with the rate-distortion optimized basis selection scheme shows that, the proposed methods have 0.33dB loss at most, with the advantages of an embedded coding fashion and lower computational complexity.
机译:小波包(WP)图像编码算法已显示出比基于小波变换的图像算法一致的改进。但是,由于嵌入的WP图像编码方法需要对给定图像进行有效且均匀的分解,因此当前大多数工作都无法产生嵌入的位流。在本文中,基于最大化每个子带方差的想法,我们提出了两种速率无关的嵌入式图像编码基础选择标准。根据这些标准,可以通过一次生长分解树或一次修剪完整的分解树来发现有效的分解。实验结果表明,在相同的子带编码方案下,提出的基础选择方法比以前的选择标准具有更好的编码性能。与速率失真优化基准选择方案的比较表明,所提出的方法最大损失为0.33dB,具有嵌入式编码方式,计算复杂度低的优点。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号