Speckle noise reduction technique for SAR images using SRAD and gradient domain guided image filtering
- Authors
- Choi, Hyunho; Jeong, Jechang
- Issue Date
- Jun-2020
- Publisher
- SPIE-INT SOC OPTICAL ENGINEERING
- Keywords
- Speckle noise; speckle reducing anisotropic diffusion filter; gradient domain guided image filtering; synthetic aperture radar images; image quality
- Citation
- INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY (IWAIT) 2020, v.11515, pp.1 - 6
- Indexed
- SCOPUS
- Journal Title
- INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY (IWAIT) 2020
- Volume
- 11515
- Start Page
- 1
- End Page
- 6
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/4467
- DOI
- 10.1117/12.2566244
- ISSN
- 0277-786X
- Abstract
- In this paper, a novel algorithm is proposed using speckle reducing anisotropic diffusion (SRAD) and gradient domain guided image filtering (GDGIF) to reduce speckle in synthetic aperture radar (SAR) images. SRAD is suitable for reducing multiplicative noise in SAR images because it can directly process log-compressed data. Since GDGIF has edge-aware weighting, it is adaptively applied to SRAD result images to additionally reduce speckle noise. Experimental results demonstrate that the proposed algorithm, compared to existing filtering methods, shows excellent speckle noise reduction performance and a low computational complexity.
- Files in This Item
-
Go to Link
- Appears in
Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/4467)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.