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High dynamic range (HDR) imaging techniques have been applied more and more in recent years. They are mostly based on the basic principle of acquiring differently exposed images of the scene, linearizing each image, and finally combining the resulting exposure set into one HDR image using some weighting scheme. This process is affected by different noise sources during image acquisition. In this paper...
High dynamic range (HDR) imaging is used to acquire the full dynamic range of a scene with a camera of limited dynamic range. To this end, an exposure set of the scene is acquired, followed by the linearization of each image with the inverse camera transfer function (CTF), which needs to be measured or estimated. Subsequently, the images are combined into one HDR image. Several weighting functions...
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