標題: Dark channel prior based video dehazing algorithm with sky preservation and its embedded system realization for ADAS applications
作者: Tsai, Chia-Chi
Lin, Cheng-Yen
Guo, Jiun-In
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
公開日期: 29-Apr-2019
摘要: Dark Channel Prior (DCP) is one of the significant dehazing methods based upon the observation of the key features of the haze-free images. But it has disadvantages; high computational complexity, over-enhancement in the sky region, flickering artefacts in video processing, and poor dehazing. Therefore, we propose improved solutions to solve the aforementioned drawbacks. First, we adopt the fast one-dimensional filter, look-up table, and program optimization to reduce the computational complexity. Next, we follow by using a part of the guided filter for sky detection and to preserve the sky region from noise by avoiding over recovery. Then, we propose an airtight update strategy and adjust the radius of a guided filter to reduce the flickering artifacts and also propose an airtight estimation method to produce the better dehazing result as the final step of our algorithm. The improved results from our proposed algorithm are stable and are obtained from the real-time processing suitable for ADAS, surveillance, and monitoring systems. The implementation of the proposed algorithm has yielded a processing speed of 75 fps and 23 fps respectively on an NVIDIA Jetson TX1 embedded platform and Renesas R-Car M2. both on DI (720x480) resolution videos. (C) 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
URI: http://dx.doi.org/10.1364/OE.27.011877
http://hdl.handle.net/11536/152381
ISSN: 1094-4087
DOI: 10.1364/OE.27.011877
期刊: OPTICS EXPRESS
Volume: 27
Issue: 9
起始頁: 11877
結束頁: 11901
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