映像情報メディア学会技術報告
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
40.40 Information Sensing Technologies(IST)
セッションID: IST2016-49
会議情報

Depth Map Estimation and Restoration of an Improved-quality Image from Multi-aperture Images
*Kuniyuki KugenumaTakashi KomuroBo ZhangKeiichiro KagawaShoji Kawahito
著者情報
会議録・要旨集 フリー

詳細
抄録
In this study, we propose a method for estimating a depth map from images captured by the multi-aperture camera, which places CMOS image sensors and lenses in a two dimensional array. By employing a global estimation method, we succeeded in estimating a depth map even from noisy images which are captured in a low light condition. We also succeeded in obtaining an improved quality image by synthesizing the multi-aperture images with disparity compensation.
著者関連情報
© 2016 The Institute of Image Information and Television Engineers
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