| Summary: | 碩士 === 國立中正大學 === 電機工程研究所 === 103 === Most of existing methods acquired high quality images from a sequence of differently exposed images that can be differentiated either high dynamic range (HDR) [1] or exposure fusion [2]. Most of them are focused on global HDR image generation for static scenes and assume the input images are perfectly aligned. However, these methods are not effective to cope with practical scenario. This paper presents an effective and real-time ROI-base image alignment technique for two different exposed images automatic-exposed and complementary-exposed with different viewpoint. In previous work, SIFT (Scale-invariant feature transform) can accurately match the feature points from two different images with the same exposure time. But it will be hard to match the correspondence feature points in HDR synthesis system due to the different exposed images. In this paper, we propose a matching method that overcomes the cause of exposure limits by taking advantage of consistent luminance distributions. In previous work, it is well-known with great time consumption because of global alignment. Therefore we utilize the camera geometric relations with our matching method to replace the global alignment in order to decrease the candidates of matching region. Our experiments demonstrate that our results are effective and high-quality image alignment for HDR synthesis system.
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