지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.9 No.5
- 발행연도
- 2020.10
- 수록면
- 353 - 364 (12page)
- DOI
- 10.5573/IEIESPC.2020.9.5.353
이용수
초록· 키워드
오류제보하기
Aerial images are highly beneficial for a range of real-life applications. On the other hand, the quality of these images is often degraded by a low-contrast effect caused by many causatives that are difficult to avoid during the acquisition process. Therefore, a new multi-concept algorithm is proposed to improve the contrast of aerial images adequately in a fully automatic way. The proposed algorithm combines several processing concepts of S-curve mapping functions, logarithmic image processing, and normalization. The newly developed algorithm was tested with artificial and natural-degraded images, and the quality of the resulting images from different comparisons was evaluated using four advanced image quality assessment (IQA) metrics. Intensive experiments and evaluations showed that the proposed algorithm could improve the contrast for various types of aerial images rapidly. In addition, it could outperform many advanced contrast enhancement algorithms regarding the IQA scores, perceived quality, and processing speed.
목차
Abstract
1. Introduction
2. Proposed Algorithm
3. Results and Discussion
4. Conclusion
References
참고문헌 (37)
참고문헌 신청
T. Hinchcliffe / 2010 / Aerial photography and the postwar urban planner in london / The London Journal 35(3):277~288
S. Chen / 2011 / Small-format aerial photography for highway-bridge monitoring / Journal of Performance of Constructed Facilities 25(2):105~112
Y. Li / 2008 / Adaptive building edge detection by combining LiDAR data and aerial images / The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 3(37):197~202
P. Sidike / 2018 / Adaptive trigonometric transformation function with image contrast and color enhancement : application to unmanned aerial system imagery / IEEE Geoscience and Remote Sensing Letters 15(3):404~408
S. Samanta / 2018 / Log transform based optimal image enhancement using firefly algorithm for autonomous mini unmanned aerial vehicle: an application of aerial photography / International Journal of Image and Graphics 18(04):1850019
S. Chen / 2011 / Small-format aerial photography for highway-bridge monitoring / Journal of Performance of Constructed Facilities 25(2):105~112
Y. Li / 2008 / Adaptive building edge detection by combining LiDAR data and aerial images / The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 3(37):197~202
P. Sidike / 2018 / Adaptive trigonometric transformation function with image contrast and color enhancement : application to unmanned aerial system imagery / IEEE Geoscience and Remote Sensing Letters 15(3):404~408
S. Samanta / 2018 / Log transform based optimal image enhancement using firefly algorithm for autonomous mini unmanned aerial vehicle: an application of aerial photography / International Journal of Image and Graphics 18(04):1850019
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