FPGA Implementation of Haze Removal Technique Based on Dark Channel Prior

被引:1
|
作者
Varalakshmi, J. [1 ]
Jose, Deepa [2 ]
Kumar, P. Nirmal [1 ]
机构
[1] Anna Univ, Dept ECE, CEG, Appl Elect, Chennai 600025, Tamil Nadu, India
[2] KCG Coll Technol, Dept ECE, Chennai 600097, Tamil Nadu, India
来源
COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING | 2020年 / 1108卷
关键词
Haze removal; FPGA; Structural Similarity index (SSIM);
D O I
10.1007/978-3-030-37218-7_71
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Image dehazing is a much innovative and growing technology in applications of computer vision. Haze removal technique in FPGA using Nexys 4 DDR is implemented in this paper. The dark channel prior (DCP) has been an efficient dehazing technique. However, DCP can induce inaccurate approximation of transmission which results in colour distortion and halo effects in the brighter regions of an image. The proposed algorithm is implemented for haze removal of image to avoid the colour distortion of haze in bright and in nonbright areas with less complexity. The algorithm that is proposed in this paper is compared with the DCP method and the Tarel algorithm using Structural Similarity index (SSIM). The results show that the proposed algorithm removes haze effectively in both bright and non-bright areas of an image and the implementation in FPGA is done with less computational complexity. Implementation of dehazing in FPGA can be used in many applications of computer vision such as surveillance, military and transportation areas.
引用
收藏
页码:624 / 630
页数:7
相关论文
共 50 条
  • [41] Visibility Restoration of Lake Crater Hazy Image Based On Dark Channel Prior
    Putra, Oddy Virgantara
    Prianto, Budi
    Yuniarno, Eko Mulyanto
    Purnomo, Mauridhi Hery
    2016 20TH INTERNATIONAL COMPUTER SCIENCE AND ENGINEERING CONFERENCE (ICSEC), 2016,
  • [42] Single image dehazing algorithm based on dark channel prior and inverse image
    Zhou X.
    Bai L.
    Wang C.
    Int. J. Eng. Trans. A Basics, 10 (1471-1478): : 1471 - 1478
  • [43] FPGA Implementation of Linear Congruential Generator Based on Block Reduction Technique
    Tchendjeu, A. E. Tchahou
    Tchitnga, R.
    Fotsin, H. B.
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2018, 27 (10)
  • [44] VLSI Design of a Fast and Area-Efficient Haze Removal Method Based on Color Attenuation Prior
    Lee, Yueh-Chan
    Chen, Ren-Der
    2024 INTERNATIONAL VLSI SYMPOSIUM ON TECHNOLOGY, SYSTEMS AND APPLICATIONS, VLSI TSA, 2024,
  • [45] MCPA: A Fast Single Image Haze Removal Method Based on the Minimum Channel and Patchless Approach
    Fuh, Chiou-Shann
    Tung, Tzu-Chia
    IEEE ACCESS, 2022, 10 : 73033 - 73045
  • [46] Design and Implementation of Time-varying Fading Channel Simulator Based on FPGA
    Zhang Taotao
    Dong Shuli
    Tang Yunge
    Ren Bingyin
    Liu Wanhong
    PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019), 2019, : 1089 - 1092
  • [47] Design and Implementation of a Multi-channel HDLC Protocol Controller based on FPGA
    Gu Yonghong
    Huang Wei
    Yang Qiaoli
    MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2012, 383-390 : 6840 - 6845
  • [48] Iterative Image Dehazing Using the Dark Channel Prior
    Lee, Sung-Ho
    Jung, Seung-Won
    Ko, Sung-Jea
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2016, E99A (10) : 1904 - 1906
  • [49] Generalization of the Dark Channel Prior for Single Image Restoration
    Peng, Yan-Tsung
    Cao, Keming
    Cosman, Pamela C.
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 27 (06) : 2856 - 2868
  • [50] Improved defogging algorithm for sea surface images based on dark channel prior theory
    Ke, Ke
    Zhang, Chunmin
    Wu, Miao
    Sun, Yongqiang
    OPTICAL ENGINEERING, 2021, 60 (03)