@inproceedings{cf3d9910541f4a89b259af0effab802f,
title = "Image fusion using two symmetric exposed images in the JPEG stream",
abstract = "The objective of fusing differently exposed images is to well represent the luminance information of the scene in a single image. In order to fuse multi exposure images, it is necessary to determine overexposed or underexposed areas in each of the captured images using an activity measure which extracts image features. In this paper, we presents image fusion using two symmetric exposed images in the JPEG stream. We find out that the AC coefficients after the quantization in JPEG baseline can describe local image features in the image block. Based on a maximum selection rule, a proposed image fusion is conducted by the comparison of the AC coefficients after the quantization instead of activity measures which need additional computations. This simple method allows multi exposure images to quickly combine a single image in JPEG baseline, therefore, it can be embedded in resource limited imaging platform such as a surveillance system.",
keywords = "Image fusion, JPEG, Multi exposure images, Resource limited imaging platform",
author = "Lee, \{Geun Young\} and Lee, \{Sung Hak\} and Kwon, \{Hyuk Ju\} and Sohng, \{Kyu Ik\}",
note = "Publisher Copyright: {\textcopyright} CSREA Press.; 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016 ; Conference date: 25-07-2016 Through 28-07-2016",
year = "2016",
language = "English",
series = "Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016",
publisher = "CSREA Press",
pages = "341--342",
editor = "Arabnia, \{Hamid R.\} and Leonidas Deligiannidis and Tinetti, \{Fernando G.\} and Jane You and George Jandieri and George Jandieri and Iakov Korovin and Gerald Schaefer and Sim, \{Kok Swee\} and Solo, \{Ashu M. G.\}",
booktitle = "Proceedings of the 2016 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2016",
}