깊은학습 특징 정보를 이용한 스마트폰 카메라의 방사적 보정
- Title
- 깊은학습 특징 정보를 이용한 스마트폰 카메라의 방사적 보정
- Authors
- 장철훈
- Date Issued
- 2015
- Publisher
- 포항공과대학교
- Abstract
- Tone and exposure control of photographs is one of the most important image enhancement techniques. Despite of its importance, adjusting tone and exposure of smartphone jpeg images is difficult due to lack of image irradiance data of the input. This thesis presents a novel radiometric calibration method which recovers irradiance data from smartphone jpeg images. We train a neural network architecture that maps smartphone jpeg pixel colors to their corresponding irradiance data. By considering not only image pixels but local characteristics of image patches, a framework of this thesis can estimate inverse camera response function from various input images accurately and robustly. Local characteristics are represented by features extracted by a convolutional neural network. With system of this study, tone and exposure of smartphone jpeg images can be adjusted accurately and effectively, as demonstrated in our results.
- URI
- http://postech.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002062426
https://oasis.postech.ac.kr/handle/2014.oak/93503
- Article Type
- Thesis
- Files in This Item:
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