Realization of a single image haze removal system based on DaVinci DM6467T processor

Zhuang Liu

doi:10.1117/12.2071478

31 October 2014 Realization of a single image haze removal system based on DaVinci DM6467T processor

Zhuang Liu

Proceedings Volume 9273, Optoelectronic Imaging and Multimedia Technology III; 92732O (2014) https://doi.org/10.1117/12.2071478
Event: SPIE/COS Photonics Asia, 2014, Beijing, China

Abstract

Video monitoring system (VMS) has been extensively applied in domains of target recognition, traffic management, remote sensing, auto navigation and national defence. However the VMS has a strong dependence on the weather, for instance, in foggy weather, the quality of images received by the VMS are distinct degraded and the effective range of VMS is also decreased. All in all, the VMS performs terribly in bad weather. Thus the research of fog degraded images enhancement has very high theoretical and practical application value. A design scheme of a fog degraded images enhancement system based on the TI DaVinci processor is presented in this paper. The main function of the referred system is to extract and digital cameras capture images and execute image enhancement processing to obtain a clear image. The processor used in this system is the dual core TI DaVinci DM6467T（ARM@500MHz+DSP@1GH. A MontaVista Linux operating system is running on the ARM subsystem which handles I/O and application processing. The DSP handles signal processing and the results are available to the ARM subsystem in shared memory.The system benefits from the DaVinci processor so that, with lower power cost and smaller volume, it provides the equivalent image processing capability of a X86 computer. The outcome shows that the system in this paper can process images at 25 frames per second on D1 resolution.

Citation Download Citation

Zhuang Liu "Realization of a single image haze removal system based on DaVinci DM6467T processor", Proc. SPIE 9273, Optoelectronic Imaging and Multimedia Technology III, 92732O (31 October 2014); https://doi.org/10.1117/12.2071478

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