Shim Seong-O
Appl Opt. 2020 May 1;59(13):4076-4080. doi: 10.1364/AO.391150.
The constructed high-dynamic-range image from merging standard low-dynamic-range images with different camera exposures contains ghost-like artifacts caused by moving objects in the scene. We present a method to utilize the gamma-corrected exposure time ratio between multi-exposure images for removal of moving objects. Between each consecutive image pair in multi-exposure images, the ratio of their exposure times is computed and raised to the power gamma, and this value is used as a cue to detect the pixels corresponding to the moving objects. We propose a method to estimate this ratio from the observed image intensity values, in case the exposure time information or gamma value is unknown. Then the moving objects in multi-exposure images are removed by replacing the intensity values of the detected moving pixels with their expected background values. Experimental results show that the proposed method could remove fast-moving objects from the original multi-exposure images and construct a ghost-free high-dynamic-range image.
通过合并具有不同相机曝光的标准低动态范围图像构建的高动态范围图像包含由场景中移动物体引起的类似重影的伪影。我们提出了一种利用多曝光图像之间伽马校正的曝光时间比来去除移动物体的方法。在多曝光图像中每对连续图像之间，计算它们曝光时间的比值并将其提升到伽马幂，该值用作检测与移动物体对应的像素的线索。我们提出了一种在曝光时间信息或伽马值未知的情况下从观察到的图像强度值估计该比值的方法。然后通过用其预期背景值替换检测到的运动像素的强度值来去除多曝光图像中的移动物体。实验结果表明，所提出的方法可以从原始多曝光图像中去除快速移动的物体，并构建无重影的高动态范围图像。
