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一种基于双边滤波的高动态红外图像压缩与细节增强算法
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  • 英文篇名:A Algorithm of High Dynamic Infrared Image Compression and Detail Strengthen Based on Bilateral Filtering
  • 作者:谢岱伟
  • 英文作者:XIE Dai-wei;The 723 Institute of CSIC;
  • 关键词:红外图像 ; 双边滤波 ; 自适应高斯滤波
  • 英文关键词:infrared picture;;bilateral filtering;;self-adapted Gaussian filtering
  • 中文刊名:JCDZ
  • 英文刊名:Shipboard Electronic Countermeasure
  • 机构:中国船舶重工集团公司第七二三研究所;
  • 出版日期:2019-04-25
  • 出版单位:舰船电子对抗
  • 年:2019
  • 期:v.42;No.284
  • 语种:中文;
  • 页:JCDZ201902021
  • 页数:4
  • CN:02
  • ISSN:32-1413/TN
  • 分类号:101-103+122
摘要
针对高动态红外图像显示时不当压缩方法会造成图像细节的大量流失问题,提出了一种针对红外图像在动态压缩中细节增强算法。该方法使用双边滤波平滑图像,再采用自适应高斯滤波消除了梯度反转的现象。使用平台直方图对基频压缩,使用自适应的增益系数放大细节层抑制了噪声,叠加压缩后的基频和放大后的细节,得到细节增强后的8位处理图像。
        High dynamic infrared image will lose many details because of inappropriate compression method when the image is shown,so this paper proposes a detail strengthen algorithm for the infrared image in dynamic compression.The method uses bilateral filtering to smooth the image,then uses self-adapted Gaussian filtering to remove gradient inversion,and uses platform histogram to compress base frequency,magnifies the detail to depress noise by means of a self-adaption gain coefficient,and superposes the compressed base frequency and the amplified detail to gain 8 bit processing image with enhanced details.
引文
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