Nighttime image enhancement using a new illumination boost algorithm

被引:51
|
作者
Al-Ameen, Zohair [1 ]
机构
[1] Univ Mosul, Coll Comp Sci & Math, Dept Comp Sci, Mosul, Nineveh, Iraq
关键词
image segmentation; image enhancement; image colour analysis; contemporary algorithms; specialised image quality assessment metrics; comparison algorithms; nighttime image enhancement; illumination boost algorithm; low brightness; deficient contrast; latent colours; acceptable quality images; ameliorate contrast; colours processing; natural-degraded nighttime images; visual quality;
D O I
10.1049/iet-ipr.2018.6585
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nighttime images are often obtained with low brightness, deficient contrast, and latent colours. Thus, it is important to improve such aspects in order to obtain acceptable quality images. Hence, a new illumination boost algorithm is proposed in this study, in which it can improve the brightness, ameliorate contrast and process the colours of nighttime images properly. Accordingly, the proposed algorithm utilises only a small number of steps and uses several processing concepts to achieve the desired results. Intensive experiments and tests with various natural-degraded nighttime images are made to validate the performance of the proposed algorithm. In addition, it is compared with eight contemporary algorithms, and the obtained results from these comparisons are evaluated using two specialised image quality assessment metrics. Using the results of the achieved experiments and comparisons, it became evident that the proposed algorithm can provide satisfactory outcomes, in which it provided visually pleasing results and outperformed the comparison algorithms in terms of scored accuracy and visual quality.
引用
收藏
页码:1314 / 1320
页数:7
相关论文
共 50 条
  • [1] Illumination-based nighttime video contrast enhancement using genetic algorithm
    Rao, Yunbo
    Hou, Lei
    Wang, Zhihui
    Chen, Leiting
    MULTIMEDIA TOOLS AND APPLICATIONS, 2014, 70 (03) : 2235 - 2254
  • [2] ILLUMINATION ENHANCEMENT OF NIGHTTIME IMAGES USING A REGULATED SINGLE SCALE RETINEX ALGORITHM
    Basheer, Ola A.
    Al-Ameen, Zohair
    JORDANIAN JOURNAL OF COMPUTERS AND INFORMATION TECHNOLOGY, 2024, 10 (02): : 138 - 151
  • [3] Illumination-based nighttime video contrast enhancement using genetic algorithm
    Yunbo Rao
    Lei Hou
    Zhihui Wang
    Leiting Chen
    Multimedia Tools and Applications, 2014, 70 : 2235 - 2254
  • [4] Nighttime low illumination image enhancement with single image using bright/dark channel prior
    Shi, Zhenghao
    Zhu, Mei Mei
    Guo, Bin
    Zhao, Minghua
    Zhang, Changqing
    EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2018,
  • [5] Nighttime low illumination image enhancement with single image using bright/dark channel prior
    Zhenghao Shi
    Mei mei Zhu
    Bin Guo
    Minghua Zhao
    Changqing Zhang
    EURASIP Journal on Image and Video Processing, 2018
  • [6] A novel Algorithm for Uneven Illumination Image Enhancement
    Kang Guang-Yu
    Huang Jian-wen
    Li Dong-hang
    Niu Jing
    Wang Hao-xian
    PROCEEDINGS OF THE 2012 SECOND INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2012), 2012, : 831 - 833
  • [7] A novel low illumination image enhancement algorithm
    Qian, J. (qianjsh@cumt.edu.cn), 1600, Advanced Institute of Convergence Information Technology, Myoungbo Bldg 3F,, Bumin-dong 1-ga, Seo-gu, Busan, 602-816, Korea, Republic of (07):
  • [8] A New Efficient Illumination Compensation Algorithm for Enhancing Nighttime Videos
    Rao, YunBo
    JOURNAL OF INTERNET TECHNOLOGY, 2016, 17 (07): : 1351 - 1361
  • [9] Differential Illumination Enhancement Technique for a Nighttime Video
    Abirami, G.
    Padmavathi, S.
    ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2015, 2016, 394 : 111 - 124
  • [10] A new enhancement algorithm for the low illumination image based on fog-degraded model
    Cheng, Feiyan
    Shi, Junsheng
    Yun, Lijun
    Du, Zhenhua
    Xu, Zhijian
    Huang, Xiaoqiao
    Chen, Zaiqing
    2018 EIGHTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA), 2018, : 113 - 117