Remote sensing image enhancement based on singular value decomposition
- Title
- Remote sensing image enhancement based on singular value decomposition
- Author
- 정제창
- Keywords
- remote sensing image enhancement; contrast enhancement; noise reduction; singular value decomposition
- Issue Date
- 2013-08
- Publisher
- SPIE - THE INT SOC FOR OPTICAL ENGINEERING
- Citation
- OPTICAL ENGINEERING , 52(8), pp.083101
- Abstract
- A satellite image enhancement method based on singular value decomposition (SVD) is presented. The proposed method consists mainly of four steps: image decomposition, adjustable contrast enhancement, noise reduction, and image composition. The method decomposes an image into its singular values, from which the luminance information can be obtained using SVD. In turn, adjustable contrast enhancement is applied by changing the singular values, which are controlled by characteristic-based contrast-level parameters. In the noise reduction process, the high-frequency elements, such as noise, are removed using rank approximation. In the final image composition process, the proposed algorithm combines color and luminance components in order to preserve color consistency. Experimental results show that the proposed scheme has less noise than the conventional methods and improves contrast performance while preserving details. (C) 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
- URI
- https://www.spiedigitallibrary.org/journals/Optical-Engineering/volume-52/issue-8/083101/Remote-sensing-image-enhancement-based-on-singular-value-decomposition/10.1117/1.OE.52.8.083101.short?SSO=1http://hdl.handle.net/20.500.11754/54813
- ISSN
- 0091-3286
- DOI
- 10.1117/1.OE.52.8.083101
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML