首页> 外文会议>European Signal Processing Conference >Improved vector quantization for lossless compression of AVIRIS images
【24h】

Improved vector quantization for lossless compression of AVIRIS images

机译:改进了VIRIS图像无损压缩的矢量量化

获取原文

摘要

In this paper, we present a modification to the back end of vector quantization (VQ), which improves the compression ratio of the lossless compression of multispectral images. By introducing a small change to the back end of VQ, the compression ratio improve significantly. In our expreriments, images were compressed from the original image entropies of between 10.73 and 11.55 bits/pixel to between 5.13 and 5.33 bits/pixel.
机译:在本文中,我们向矢量量化的后端(VQ)提高了多光谱图像的无损压缩的压缩比的修改。通过对VQ的后端引入小的变化,压缩比显着提高。在我们的实施例中,图像被从10.73和11.55位/像素之间的原始图像熵压缩到5.13和5.33位/像素之间。

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