Decolorization-based hyperspectral image visualization

Xudong Kang, Puhong Duan, Shutao Li, Jon Atli Benediktsson

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)


Image decolorization is known to be an effective way in transferring a color image into a gray one while well preserving the major information of all three bands. In this paper, a simple yet effective hyperspectral image visualization framework based on decolorization, named decolorization based hyperspectral visualization, is proposed, which enables us to fully exploit the benefits of decolorization technique. The proposed framework consists of the following two main steps. First, the hyperspectral image is partitioned into nine subsets of adjacent hyperspectral bands and the averaged band of each subset is calculated. Then, the dimension reduced image is further divided into three groups of adjacent bands, and the bands in each group are fused by using an image decolorization method. The main contribution of this paper is that the strong correlations in two different fields, i.e., image decolorization and hyperspectral image visualization, are first built. Experiments performed on several real hyperspectral data sets demonstrate that the proposed framework can obtain outstanding visualization performance in terms of both subjective and objective evaluations.

Original languageEnglish
Article number8335335
Pages (from-to)4346-4360
Number of pages15
JournalIEEE Transactions on Geoscience and Remote Sensing
Issue number8
Publication statusPublished - Aug 2018

Bibliographical note

Funding Information:
Manuscript received November 24, 2017; revised February 9, 2018; accepted March 7, 2018. Date of publication April 11, 2018; date of current version July 20, 2018. This work was supported in part by the National Natural Science Fund of China for International Cooperation and Exchanges under Grant 61520106001, in part by the National Natural Science Foundation of China under Grant 61601179, in part by the National Natural Science Fund of China for Distinguished Young Scholars under Grant 61325007, in part by the Fund of Hunan Province for the Science and Technology Plan Project under Grant 2017RS3024, and in part by the Science and Technology Plan Project Fund of Hunan Province under Grant 2015WK3001. (Corresponding author: Shutao Li.) X. Kang, P. Duan, and S. Li are with the College of Electrical and Information Engineering, Hunan University, Changsha 410082, China (e-mail:;;

Publisher Copyright:
© 1980-2012 IEEE.

Other keywords

  • Averaging-based method
  • band segmentation
  • hyperspectral image visualization
  • image decolorization


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