Liang Bin, Weng Dongdong, Bao Yihua, Tu Ziqi, Luo Le
Opt Express. 2020 Oct 12;28(21):31057-31075. doi: 10.1364/OE.400820.
Traditional cameras are limited by sensors and cannot directly capture single-shot high dynamic range (HDR) images. We propose an improved single-shot HDR image reconstruction method that uses a single-exposure filtered low dynamic range (FLDR) image. First, by adding an optical filter in front of the camera lens, a FLDR image with different RGB channel exposure states and luminance ranges can be captured in a single-shot, unlike the traditional LDR image. Second, a deep inverse tone mapping network (DITMnet) with multibranch features extraction and multioutput images synthesis is designed to reconstruct an HDR image from a single FLDR image. Experimentally, under different exposure states and color spaces, our method outperforms similar algorithms.
传统相机受传感器限制，无法直接捕捉单张高动态范围（HDR）图像。我们提出了一种改进的单张HDR图像重建方法，该方法使用单曝光滤波低动态范围（FLDR）图像。首先，通过在相机镜头前添加一个光学滤镜，可以单次捕捉具有不同RGB通道曝光状态和亮度范围的FLDR图像，这与传统的低动态范围（LDR）图像不同。其次，设计了一种具有多分支特征提取和多输出图像合成的深度逆色调映射网络（DITMnet），用于从单张FLDR图像重建HDR图像。实验表明，在不同的曝光状态和色彩空间下，我们的方法优于类似算法。
