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	A Contribution Algorithm from LDRI to HDRI 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 卷号: 34, 期号: 7, 页码: 15 作者: Luo, Junsong; Qiu, Shi; Jiang, Yizhang; Cheng, Keyang; Ye, Huping \| 收藏 \| 浏览/下载：52/0 \| 提交时间：2021/07/09 Camera response curve high dynamic range image low dynamic range image contribution display
	A Contribution Algorithm from LDRI to HDRI 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 卷号: 34, 期号: 7 作者: Luo, Junsong; Qiu, Shi; Jiang, Yizhang; Cheng, Keyang; Ye, Huping \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2020/07/20 Camera response curve high dynamic range image low dynamic range image contribution display
	A Contribution Algorithm from LDRI to HDRI 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 卷号: 34, 期号: 7, 页码: 15 作者: Luo, Junsong; Qiu, Shi; Jiang, Yizhang; Cheng, Keyang; Ye, Huping \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/07/09 Camera response curve high dynamic range image low dynamic range image contribution display
	New Algorithm of Response Curve for Fitting HDR Image 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2020, 卷号: 34, 期号: 1 作者: Qiu, Shi; Li, Xuemei; Huang, Yongdong; Li, Zhengzhou; Chen, Xun \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2020/04/13 High dynamic range low dynamic range camera response curve mapping images texture features exposure time
	Research on the nonuniformity correction of linear TDI CCD remote camera (EI CONFERENCE) 会议论文 OAI收割 Advanced Materials and Devices for Sensing and Imaging II, November 8, 2004 - November 10, 2004, Beijing, China Ya-xia L.; Zhi-hang H. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 Many applications such as industrial inspection and overhead reconnaissance benefit from line scanning architectures where time delay integration (TDI) significantly improves sensitivity[5]. Images with linear response have become the backbone of the imaging industry. But each pixel of the TDI CCD has unique light sensitivity characteristics. Because these characteristics and the lens of the optical system affect camera's linearization and its performance they must be removed through calibration. The process by which a CCD image is calibrated is known as nonuniformity correction. This paper discusses several methods of nonuniformity correction[2]. The first is one-point correction technique which requires only one calibration point. This approach is to shift each curve toward the nominal curve by subtracting the offset from or adding the offset to the average. The second is two-point correction technique which requires two calibration points. Each point is rotated and aligned so that all the detectors have the same response under the same radiance. The third is multipoint correction. It is recommended that more calibration points be implemented at appropriate regions of the response curve. Depend on the linear photoelectric response of the TDI CCD we use two-point calibration and the standard deviations for the images are given before and after the correction.