首页> 外文会议>Wavelet Applications in Signal and Image Processing >Optimal thresholding in wavelet image compression
【24h】

Optimal thresholding in wavelet image compression

机译:小波图像压缩中的最佳阈值

获取原文
获取原文并翻译 | 示例

摘要

Abstract: Wavelet transform coding has the potential to offer a lot of benefits with respect to image compression and image filtering as well. The later aspect is of importance in machine processing of high entropy images such as Synthetic Aperture Radar images obtained by the European Remote sensing Satellite (ERS-1). A mathematical model is developed to study the relation between a specified Mean Square Error, the value of the wavelet coefficient threshold and the maximum number of resolutions used. The wavelet compression method is compared with other compression methods like JPEG standard and Vector Quantization for a number of different (in a statistical sense) images amongst others LENA.!10
机译:摘要:小波变换编码有潜力在图像压缩和图像滤波方面提供很多好处。在高熵图像(例如由欧洲遥感卫星(ERS-1)获得的合成孔径雷达图像)的机器处理中,后一个方面非常重要。开发了一个数学模型来研究指定的均方误差,小波系数阈值和所使用的最大分辨率之间的关系。将小波压缩方法与其他压缩方法(如JPEG标准和矢量量化)进行比较,以获取许多不同(从统计意义上)图像(尤其是LENA)。10

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