Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Determining the Camera Response from Images: What Is Knowable?
IEEE Transactions on Pattern Analysis and Machine Intelligence
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It is known that a high dynamic range (HDR) image can be produced by sequentially capturing a set of low dynamic range (LDR) images with different exposure times [Debevec and Malik 1997]. However, ghosting artifacts could be produced via this method when there are moving objects in a scene. In this poster, a similarity index is first introduced for such LDR images by using intensity mapping functions (IMFs) among them. The index is then applied to detect moving objects such that ghosting artifacts are removed from the eventual HDR image. The details are given as below.