SAR Image Denoising Compression Based on Second Generation Bandelet Transform

JIN Hai-yan; WANG Bin

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SAR Image Denoising Compression Based on Second Generation Bandelet Transform

更新时间：2026-09-04

- SAR Image Denoising Compression Based on Second Generation Bandelet Transform
- Vol. 27, Issue 9, Pages: 103-108(2010)
- 作者机构：
  
  西安理工大学机构计算机科学与工程学院,陕西,西安,710048
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
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金海燕, 王彬. 基于第二代Bandelet变换的SAR图像去噪压缩[J]. 微电子学与计算机, 2010, 27(9): 103-108.

JIN Hai-yan, WANG Bin. SAR Image Denoising Compression Based on Second Generation Bandelet Transform[J]. 2010, 27(9): 103-108.
金海燕, 王彬. 基于第二代Bandelet变换的SAR图像去噪压缩[J]. 微电子学与计算机, 2010, 27(9): 103-108. DOI：

JIN Hai-yan, WANG Bin. SAR Image Denoising Compression Based on Second Generation Bandelet Transform[J]. 2010, 27(9): 103-108. DOI：

摘要

从SAR图像的统计特性出发

构造了对比度塔(CP)

对SAR图像进行相干斑抑制和对比度调整

并将第二代Bandelet变换用于SAR图像压缩.在bpp值较高的情况下

该方法提高了SAR图像的压缩性能

适用于方向信息比较丰富、背景复杂的SAR图像的压缩处理.

Abstract

Based on the statistic characters of SAR images

and constructing contrast pyramid

take speckle noise reduction and contrast modulation as pretreatments and use second Bandelet transform to compress SAR images in this paper. Better compression performance can be achieved when bpp value is not very low.This method is applicable for SAR images with rich directional information and complicated background.

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