High Dynamic Range Imaging Using Multiple Exposures

6th conference on Advances in Optoelectronics and Micro/nano-optics

Hou, Xinglin^1,2,3,4 ; Luo, Haibo^1,3,4 ; Zhou, Peipei^1,2,3,4 ; Zhou, Wei^5

Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang

110016, China^1

University of Chinese Academy of Sciences, Beijing

100049, China^2

Key Laboratory of Opto-Electronic Information Processing CAS, Shenyang

110016, China^3

Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang

110016, China^4

AVIC Jiangxi HONGDU Aviation Industry Group LTD, Nanchang, China^5

关键词: Camera response functions;    High dynamic range;    High dynamic range imaging;    High order polynomial;    Local image features;    Low dynamic range;    Multiple exposure;    Weighted summations;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/844/1/012043/pdf
DOI  :  10.1088/1742-6596/844/1/012043

来源: IOP

【 摘 要 】

It is challenging to capture a high-dynamic range (HDR) scene using a low-dynamic range (LDR) camera. This paper presents an approach for improving the dynamic range of cameras by using multiple exposure images of same scene taken under different exposure times. First, the camera response function (CRF) is recovered by solving a high-order polynomial in which only the ratios of the exposures are used. Then, the HDR radiance image is reconstructed by weighted summation of the each radiance maps. After that, a novel local tone mapping (TM) operator is proposed for the display of the HDR radiance image. By solving the high-order polynomial, the CRF can be recovered quickly and easily. Taken the local image feature and characteristic of histogram statics into consideration, the proposed TM operator could preserve the local details efficiently. Experimental result demonstrates the effectiveness of our method. By comparison, the method outperforms other methods in terms of imaging quality.