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학술대회 Dynamic Range Compression Based on Statistical Analysis
Cited 4 time in scopus Download 3 time Share share facebook twitter linkedin kakaostory
저자
이근동, 김수정, 김성대
발행일
200911
출처
International Conference on Image Processing (ICIP) 2009, pp.3157-3160
DOI
https://dx.doi.org/10.1109/ICIP.2009.5414419
협약과제
09MS3400, Rich UCC 기술 개발(표준화 연계), 오원근
초록
In this paper, we propose a computationally efficient space-varying dynamic range compression method based on statistical analysis. The proposed method reveals fine details without affecting already well-balanced region. For this goal, we introduce an effective segmentation method for distinguishing a damaged region from a well-balanced region. The statistical analysis and indirect use of the characteristics in segmented regions are introduced. In addition, to automate the full chain of dynamic range compression, we propose an enhancement condition which determines whether a certain image needs to be processed or not. ©2009 IEEE.
키워드
Dynamic range compression, Enhancement condition, Image enhancement, Local contrast
KSP 제안 키워드
Compression method, Computationally Efficient, Damaged region, Fine details, Image enhancement, Statistical Analysis, Well-balanced, dynamic range compression, local contrast, segmentation method