Abstract: The exposure is the total amount of light reaching the camera sensor and determines the overall quality of the photograph. Therefore, the exposure plays a key role in the process of taking photographs. Long exposure photography is used to acquire some dreamy, yet, mysterious photographs that are different from ordinary fast shutter photographs. However, it is difficult even for professional photographers to take plausible long exposure photographs. Long exposure photography expresses the feeling of movement by blurring the moving objects while the background is sharp. In this study, we present a new algorithm which achieves photographs with long exposure effect using an image sequence of a moving subject. The proposed method works without special equipment or time and space limitation. The algorithm is consisted of three parts: object segmentation, motion estimation and motion blur. The result shows that the proposed method enables even novice photographers to take plausible long exposure photos just by taking a sequence of images at the same spot.
Kyuman Jeong, Bareum Kim and Han-Jin Cho, 2017. Generating Long Exposure Effect using Image Sequence. Journal of Engineering and Applied Sciences, 12: 7077-7081.