计算机视觉
人工智能
保险丝(电气)
计算机科学
高动态范围
立体图像
视差
立体成像
图像融合
图像(数学)
航程(航空)
动态范围
工程类
电气工程
航空航天工程
作者
Yeyao Chen,Mei Yu,Ken Chen,Gangyi Jiang,Yang Song,Zongju Peng,Fen Chen
标识
DOI:10.1109/icip.2019.8803656
摘要
Stereo high dynamic range (HDR) image/video can be generated by using a pair of stereo cameras with different exposure parameters. This paper proposes a new stereo HDR imaging method using generative adversarial networks (GAN) with a low dynamic range (LDR) stereo imaging system. It is assumed here that the left-view (LV) image is under-exposed and the right-view (RV) image is overexposed. First, a view exposure transfer GAN (VET-GAN) is constructed to transfer exposure information of the RV image to the LV image to generate the multi-exposure LV images, and then an HDR fusion GAN is constructed to fuse the generated multi-exposure LV images into an LV HDR image. Similarly, an RV HDR image can be generated using the same way to form a stereo HDR image pair. The experimental results show that the proposed method can obtain stereo HDR images with high visual quality and effectively avoid the ghost artifacts caused by parallax.
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