Park Won-Jae, Ji Seo-Won, Kang Seok-Jae, Jung Seung-Won, Ko Sung-Jea
School of Electrical Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 136-701, Korea.
Samsung Electronics Co. Ltd., 1, Samsungjeonja-ro, Hwaseong-si 445-330, Gyeonggi-do, Korea.
Sensors (Basel). 2017 Jun 22;17(7):1473. doi: 10.3390/s17071473.
In this paper, a high dynamic range (HDR) imaging method based on the stereo vision system is presented. The proposed method uses differently exposed low dynamic range (LDR) images captured from a stereo camera. The stereo LDR images are first converted to initial stereo HDR images using the inverse camera response function estimated from the LDR images. However, due to the limited dynamic range of the stereo LDR camera, the radiance values in under/over-exposed regions of the initial main-view (MV) HDR image can be lost. To restore these radiance values, the proposed stereo matching and hole-filling algorithms are applied to the stereo HDR images. Specifically, the auxiliary-view (AV) HDR image is warped by using the estimated disparity between initial the stereo HDR images and then effective hole-filling is applied to the warped AV HDR image. To reconstruct the final MV HDR, the warped and hole-filled AV HDR image is fused with the initial MV HDR image using the weight map. The experimental results demonstrate objectively and subjectively that the proposed stereo HDR imaging method provides better performance compared to the conventional method.
本文提出了一种基于立体视觉系统的高动态范围（HDR）成像方法。该方法使用从立体相机捕获的不同曝光的低动态范围（LDR）图像。首先，利用从LDR图像估计出的逆相机响应函数，将立体LDR图像转换为初始立体HDR图像。然而，由于立体LDR相机的动态范围有限，初始主视图（MV）HDR图像的欠曝/过曝区域中的辐射值可能会丢失。为了恢复这些辐射值，将所提出的立体匹配和空洞填充算法应用于立体HDR图像。具体来说，利用初始立体HDR图像之间估计的视差对辅助视图（AV）HDR图像进行扭曲，然后对扭曲后的AV HDR图像进行有效的空洞填充。为了重建最终的MV HDR，使用权重图将扭曲并填充空洞的AV HDR图像与初始MV HDR图像融合。实验结果从客观和主观上表明，与传统方法相比，所提出的立体HDR成像方法具有更好的性能。
