Contrast enhancement and noise elimination using singular value decomposition for stereo imaging
- Title
- Contrast enhancement and noise elimination using singular value decomposition for stereo imaging
- Author
- 정제창
- Keywords
- stereo satellite image; singular value decomposition; contrast enhancement; midway image equalization
- Issue Date
- 2012-12
- Publisher
- SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
- Citation
- OPTICAL ENGINEERING, 권:51, 호:9, 논문 번호:090504
- Abstract
- A new stereoscopic satellite image enhancement method based on singular value decomposition (SVD) is presented. The proposed stereoscopic image enhancement technique consists of four steps; SVD based on image analysis, image enhancement, noise reduction, and tone consistency. The goal of this work is to enhance low-contrast stereo satellite images with noise elimination, and obtain identical luminance levels from slightly different luminance in stereo images. Experimental results show the proposed method improves contrast performance while maintaining the luminance continuity. It also exhibits less noise than conventional methods. (c) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.51.9.090504]
- URI
- https://www.spiedigitallibrary.org/journals/Optical-Engineering/volume-51/issue-9/090504/Contrast-enhancement-and-noise-elimination-using-singular-value-decomposition-for/10.1117/1.OE.51.9.090504.full?SSO=1http://hdl.handle.net/20.500.11754/54334
- ISSN
- 0091-3286
- DOI
- 10.1117/1.OE.51.9.090504
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
- Files in This Item:
- 090504.pdfDownload
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