@inproceedings{1925b838947a49ae975a49746bda8861,
title = "Integrated Compression Coding Method for UAV Reconnaissance Video and Still Image",
abstract = "Unmanned aerial vehicle (UAVs) can carry a variety of mission payloads and work in many kinds of models, currently still images are compressed by JPEG compression algorithms series and dynamic images can be compressed by many algorithms, such as H.264, MPEG and so on. As UAV airborne platform is restrained by its size, weight and power consumption, it requires a suitable and common compression method. According to the characteristics of UAV video and still images, this paper presents a common H.264 compression method of high compression ratio based on (9,7) DWT, this method integrates JPEG2000 and H.264 compression algorithms. Experimental results show that the compression ratio of the proposed method for still images has great improvement compared with H.264 and JPEG2000 under the condition of similar Peak Signal to Noise Ratio (PSNR) value; In the condition of small decreased PSNR value (mainly luminance component) but very small loss of subjective quality, it achieves a substantial improvement in compression ratio for UAV reconnoiter video than the above two standard compression methods and also saves bandwidth greatly.",
keywords = "Bandwidth limited, High compression ratio, Integrated compression, Naissance video",
author = "Kang, \{Chuan Bo\} and Ding, \{Wen Rui\} and Yuan, \{Yong Xian\} and Lu, \{Ai Ying\}",
year = "2014",
doi = "10.1007/978-3-642-54924-3\_101",
language = "英语",
isbn = "9783642549236",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "1067--1075",
booktitle = "Foundations of Intelligent Systems - Proceedings of the 8th InternationalConference on Intelligent Systems and Knowledge Engineering, ISKE 2013",
address = "德国",
note = "8th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2013 ; Conference date: 20-11-2013 Through 23-11-2013",
}