Novel contrast enhancement scheme for infrared image using detail-preserving stretching

被引:18
|
作者
Kim, Jin-Hyung [1 ]
Kim, Jun-Hyung [1 ]
Jung, Seung-Won [1 ]
Noh, Chang-Kyun [2 ]
Ko, Sung-Jea [1 ]
机构
[1] Korea Univ, Sch Elect Engn, Seoul 136713, South Korea
[2] Agcy Def Dev, R&D Inst 1 3, Taejon 305600, South Korea
关键词
contrast enhancement; infrared; contrast stretching; gradient-domain processing; HISTOGRAM; FRAMEWORK;
D O I
10.1117/1.3597639
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A novel contrast enhancement scheme for infrared (IR) image using detail-preserving stretching (DPS) is presented in this paper. Unlike CCD images, the histogram of the IR images is not distributed to the entire dynamic range of the input image. Therefore, in order to enhance the contrast, the proposed method adopts contrast stretching since it has a low computational complexity and preserves the global contrast of the original. However, the stretching often produces unpleasant images that do not contain clear details by limiting the output dynamic range. To solve this problem, we propose a new contrast stretching method based on gradient-domain processing (GDP) that can enhance the local image contrast while preserving the global contrast as well as the image details. Experimental results demonstrate that the proposed method outperforms the conventional stretching-based and other image enhancement methods with respect to the visual quality and computational complexity. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3597639]
引用
收藏
页数:10
相关论文
共 50 条
  • [1] A Novel Variational Model for Detail-Preserving Low-Illumination Image Enhancement
    Xu, Yadong
    Sun, Beibei
    SIGNAL PROCESSING, 2022, 195
  • [2] A New Detail-Preserving Regularization Scheme
    Guo, Weihong
    Qin, Jing
    Yin, Wotao
    SIAM JOURNAL ON IMAGING SCIENCES, 2014, 7 (02): : 1309 - 1334
  • [3] Detail-preserving Joint Image Upsampling
    Yang, Yang
    Qiu, Shuailong
    Zeng, Lanling
    Pan, Zhigeng
    ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2024, 20 (08)
  • [4] Rapid, Detail-Preserving Image Downscaling
    Weber, Nicolas
    Waechter, Michael
    Amend, Sandra C.
    Guthe, Stefan
    Goesele, Michael
    ACM TRANSACTIONS ON GRAPHICS, 2016, 35 (06): : 1 - 6
  • [5] Pixel intensity optimization and detail-preserving contextual contrast enhancement for underwater images
    Subramani, Bharath
    Veluchamy, Magudeeswaran
    OPTICS AND LASER TECHNOLOGY, 2025, 180
  • [6] Detail-preserving contrast reduction for still cameras
    Rangarajan, Prasanna
    Papamichalis, Panos
    2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 2885 - +
  • [7] A DETAIL-PRESERVING MIXTURE MODEL FOR IMAGE SEGMENTATION
    Thanh Minh Nguyen
    Wu, Q. M. Jonathan
    Mukherjee, Dibyendu
    Zhang, Hui
    2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 1468 - 1472
  • [8] A novel multi-scale fusion framework for detail-preserving low-light image enhancement
    Xu, Yadong
    Yang, Cheng
    Sun, Beibei
    Yan, Xiaoan
    Chen, Minglong
    INFORMATION SCIENCES, 2021, 548 : 378 - 397
  • [9] Detail-preserving single nighttime image dehazing
    Yang, Aiping
    Liu, Jin
    Ji, Zhong
    Pang, Yanwei
    JOURNAL OF ELECTRONIC IMAGING, 2020, 29 (04)
  • [10] LCIS: A boundary hierarchy for detail-preserving contrast reduction
    Tumblin, J
    Turk, G
    SIGGRAPH 99 CONFERENCE PROCEEDINGS, 1999, : 83 - 90