首页> 外文会议>Cellular Automata; Lecture Notes in Computer Science; 4173 >Cellular Automata Based Encoding Technique for Wavelet Transformed Data Targeting Still Image Compression
【24h】

Cellular Automata Based Encoding Technique for Wavelet Transformed Data Targeting Still Image Compression

机译:基于元胞自动机的小波变换目标静止图像压缩编码技术

获取原文
获取原文并翻译 | 示例

摘要

This paper reports cellular automata (CA) based efficient encoding technique for wavelet transformed data of still image. The encoding technique handles wavelet coefficients, in transformed domain, and then simulates different classes of transforms with the introduction of CA framework. It ideally suits for low cost implementation of the compression technology for still images. Reported experimental results establish the effectiveness of the proposed scheme.
机译:本文报道了基于细胞自动机(CA)的静态图像小波变换数据的有效编码技术。编码技术在变换域中处理小波系数,然后通过引入CA框架来模拟不同类别的变换。它非常适合静态图像压缩技术的低成本实现。报告的实验结果证明了该方案的有效性。

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