Medical image enhancement in F-shift transformation domain

  • Xiaoyun Li
  • Tongliang LiEmail author
  • Huanyu Zhao
  • Yuwei Dou
  • Chaoyi Pang


Image enhancement technology plays an important role in the diagnosis and treatment of medical diseases. In this paper, we propose a method to automatically enhance medical images. The proposed method could be used to support clinical medical diagnosis, adjuvant therapy and curative effect diagnosis. This scheme uses contrast limited adaptive histogram equalization (CLAHE) method in F-shift transformation domain. Firstly, we adjust the overall brightness of the underexposed or overexposed image. Secondly, we perform CLAHE to enhance the low-frequency components obtained by one-level two-dimensional F-shift transformation (TDFS) on the adjusted images. At this stage, most of the coefficients in the high-frequency component can be changed to zero through properly setting the error bound. We then use inverse transformation to reconstruct image which is further enhanced with CLAHE. Compared to previous work, this approach takes into account not only the image enhancement, but also the data compression. Experimental results and comparison with state-of-the-art methods show that our proposed method has a better enhancement performance. Moreover, it has a certain data compression ability.


Medical image Image enhancement F-shift transformation CLAHE 



This work was financially supported by the National Natural Science Foundation (No. 61572022), the Science and Technology Project of Hebei Academy of Sciences (Nos. 19607, 18607, 18605).


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institute of Applied MathematicsHebei Academy of SciencesShijiazhuangChina
  2. 2.Hebei Authentication Technology Engineering Research CenterShijiazhuangChina
  3. 3.Amador Valley High SchoolPleasantonUSA
  4. 4.The School of Computer and Data EngineeringZhejiang University (NIT)NingboChina

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