Practical High Dynamic Range Imaging of Everyday Scenes: Photographing the world as we see it with our own eyes
High dynamic range (HDR) imaging enables the capture of an extremely wide range of the illumination present in a scene and so produces images that more closely resemble what we see with our own eyes. In this article, we explain the problem of limited dynamic range in the standard imaging pipeline and then present a survey of state of the art research in HDR imaging, including the technology's history, specialized cameras that capture HDR images directly, and algorithms for capturing HDR images using sequential stacks of differently exposed images. Because this last is among the most common methods for capturing HDR images using conventional digital cameras, we also discuss algorithms to address artifacts that occur when using with this method for dynamic scenes. Finally, we consider systems for the capture of HDR video and conclude by reviewing open problems and challenges in HDR imaging.
IEEE Signal Processing Magazine