Abstract ▼

Purpose&contents
We carry out interdisciplinary researches of image processing, vision, and communication technologies for the acquisition, tone-mapping, compression of HDRV, and performance analysis of the acquisition system.
Result
HDRV data can represent scenes with very high precision a

Purpose&contents
We carry out interdisciplinary researches of image processing, vision, and communication technologies for the acquisition, tone-mapping, compression of HDRV, and performance analysis of the acquisition system.
Result
HDRV data can represent scenes with very high precision and offer realistic visual information in various application areas. In this research, we developed the following key technologies to utilize HDR image data effectively.
1. HDRV acquisition
We developed HDRV acquisition algorithms using single or multiple cameras, which are based on coded lighting conditions or camera apertures. Specifically, we proposed algorithms for a fast HDRV acquisition system by controlling lighting conditions or camera apertures adaptively to scene brightness changes.
2. Tone-mapping and layered coding of HDRV data We developed efficient tone mapping algorithms, which compress dynamic ranges to display HDR images and videos on LDR devices. We also proposed algorithms for compact layered encoding of HDRV, which requires a great amount of data for storage and transmission, by exploiting temporal and spatial correlations.
3. Performance analysis of the acquisition system using communications theories We analyzed the performance of the HDRV acquisition system based on detection and estimation theories. We also developed algorithms to reduce the computational complexity of the anlaysis algorithms, using the maximum likelihood and minimum means square error techniques that are used in MIMO communications theories.
Expected Contribution
Compared with LDR images, HDR data can offer more realistic and faithful visual data. Therefore, HDR image processing techniques can be used in various areas, including broadcasting, entertainment, medical imaging, surveillance camera, cultural and educational industries. We will extend the results to the computational photography, which is a technique to provide photographs that can be acquired using computational algorithms and controlling cameras and cannot be captured by conventional cameras.

목차 Contents

• 중견연구자지원사업(핵심연구) 최종보고서(평가용) ... 1
• 목차 ... 3
• 연구계획 요약문 ... 4
• 연구결과 요약문 ... 5
• 한글요약문 ... 5
• SUMMARY ... 6
• 연구내용 및 결과 ... 7
• 1. 연구개발과제의 개요 ... 7
• 2. 국내외 기술개발 현황 ... 8
• 3. 연구수행 내용 및 결과 ... 10
• 4. 목표달성도 및 관련분야에의 기여도 ... 45
• 5. 연구결과의 활용계획 ... 46
• 6. 연구과정에서 수집한 해외과학기술정보 ... 47
• 7. 주관연구책임자(공동연구원) 대표적 연구실적 ... 47
• 8. 참고문헌 ... 48
• 9. 연구성과 ... 50
• 10. 기타사항 ... 55
• [별첨1] 대표연구성과 ... 56
• 자체평가 의견서 ... 60