An Evaluation of ghost removal algorithms for exposure fusion

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2015
Kutlu, Tuğser
In high dynamic range imaging (HDR), the goal is to capture a scene with a higher dynamic range than the camera capable of capturing with a single exposure. Similar to HDR, exposure fusion is a process that takes multiple images and combines them to create a single dynamically enhanced image by only keeping the properly exposed elements. When using multiple images, local motion of objects can influence the quality of the final image in such a way that local motion of objects causes a ghost artifact. In this thesis, an exposure fusion algorithm is implemented and the techniques used for ghost removal are discussed and compared in terms of quality and computational time. We also propose modifications to the existing algorithms to improve the image quality while decreasing the computational time.

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Citation Formats
T. Kutlu, “An Evaluation of ghost removal algorithms for exposure fusion,” M.S. - Master of Science, Middle East Technical University, 2015.