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Optical Engineering • Open Access

Contrast enhancement and noise elimination using singular value decomposition for stereo imaging
Author(s): Changwoo Ha; Gwanggil Jeon; Jechang Jeong

Paper 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.

Paper Details

Date Published: 18 September 2012
PDF: 3 pages
Opt. Eng. 51(9) 090504 doi: 10.1117/1.OE.51.9.090504
Published in: Optical Engineering Volume 51, Issue 9
Show Author Affiliations
Changwoo Ha, Hanyang Univ. (Korea, Republic of)
Gwanggil Jeon, Univ. of Incheon (Korea, Republic of)
Jechang Jeong, Hanyang Univ. (Korea, Republic of)

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