Electronics Optics & Control, Volume. 22, Issue 10, 14(2015)

Optimization Methods for Image Haze Removal Based on Multi-core DSP

BAI Lin-ting1...2,3, WU Yong-wei1, XIE Jian-chun2,3, WEN Peng-cheng2,3, and LIU Xiao-jian23 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    The Digital Signal Processor (DSP) is specially designed for signal processing.In recent years,the DSP has found wide application in signal processing,image processing,communication,traffic and aerospace etc.As a practical part of image processing,the image haze removal has been researched for decades.During the research and development of haze removal algorithm,the Matlab and C programming language were usually used,and were supported by DSP.Yet,the efficiency was too low by simply running the source code.To solve this problem,a novel algorithm is proposed for optimizing the algorithm and improving the processing effect.The multi-core DSP and development tool of TI Company are used for real-time optimization of C code and parallel processing.A fine optimization effect is obtained,which shows that the method can be used for processing hazy images with low resolution ratio in realtime.

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    BAI Lin-ting, WU Yong-wei, XIE Jian-chun, WEN Peng-cheng, LIU Xiao-jian. Optimization Methods for Image Haze Removal Based on Multi-core DSP[J]. Electronics Optics & Control, 2015, 22(10): 14

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    Paper Information

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    Received: Oct. 27, 2014

    Accepted: --

    Published Online: Jan. 19, 2016

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2015.10.004

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