@inproceedings{6a364d96fc7042658a7c5dcddaf6d6d6,
title = "Design for a reconfigurable image fusion system base on All Programmable System on Chip",
abstract = "This paper proposes a complete hardware and software solution of an image fusion system, which is based on All Programmable System on Chip (AP-SoC) platform. We adopt the modular reconfigurable ideology to divide image processing into two basic modules, which are used for image convolution and point operation. We take advantage of the low-delay and high-performance of data port to exchange data between memory and modules through Direct Memory Access (DMA) in order to realize the system's real-time. Now we have implemented 5 layers Laplacian fusion system on XC7Z020 AP-SoC to verify the designed modules and system validity. The frame rate of the system reaches 34fps. Our solution is highly flexible and reconfigurable, which can implement any layers of image fusion by only modifying software and integrate a pipeline fusion system with different levels on the basis of applicative requirement and resource limitation.",
keywords = "All Programmable SoC, FPGA, Laplacian image fusion, reconfigurable",
author = "Xiujie Qu and Shixin Zhang and Haili Huo and Yue Gu and Yue Sun",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 ; Conference date: 15-08-2015 Through 17-08-2015",
year = "2016",
month = jan,
day = "13",
doi = "10.1109/FSKD.2015.7382238",
language = "English",
series = "2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1903--1907",
editor = "Zhuo Tang and Jiayi Du and Shu Yin and Renfa Li and Ligang He",
booktitle = "2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015",
address = "United States",
}