마스크 적용 신경회로망 기반 톤 맵 하이 다이나믹 레인지 영상 복원 기법 연구
Tone-mapped High Dynamic Range Image Restoration with Mask-applied Neural Network
- 주제(키워드) 하이 다이나믹 레인지 영상 , 톤 매핑 , 영상 복원 , 마스크 적용 신경회로망 , High dynamic range (HDR) image , Tone mapping , Image restoration , Mask-applied neural network
- 발행기관 서강대학교 일반대학원
- 지도교수 강석주
- 발행년도 2019
- 학위수여년월 2019. 2
- 학위명 석사
- 학과 및 전공 일반대학원 전자공학과
- 실제URI http://www.dcollection.net/handler/sogang/000000063763
- UCI I804:11029-000000063763
- 본문언어 한국어
- 저작권 서강대학교 논문은 저작권보호를 받습니다.
초록/요약
This thesis proposes a neural network-based image restoration method for recon-structing a single tone-mapped high dynamic range image, which has a higher color reproduction rate and higher detail preservation than a low dynamic range image, from a single low dynamic range image including over/under exposed images. Tone-mapped high dynamic range image restoration problem can be regarded as a combination of existing ill-posed problems: (1) image color restoration and (2) image detail restoration. To solve these two ill-posed problems at the same time, this thesis uses a mask and a mask-applied neural network to distinguish between clipped and non-clipped regions. And this thesis restores the clipped region based on an image inpainting viewpoint and the non-clipped region based on image-to-image translation viewpoint. The proposed method showed lower color restoration ability for the non-clipped region, but showed higher color and detail restoration for the clipped region within a certain size than conventional methods, despite the relatively small number of neural network parameters. In addition, the qualitative results showed that the proposed method restores the clipped region naturally with-out degrading the perceptual quality compared to other methods.
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