Image Enhancement Based on Quotient Space

  • Tong Zhao
  • Guoyin Wang
  • Bin Xiao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8537)


Histogram equalization (HE) is a simple and widely used method in the field of image enhancement. Recently, various improved HE methods have been developed to improve the enhancement performance, such as BBHE, DSIHE and PC-CE. However, these methods fail to preserve the brightness of original image. To address the insufficient of these methods, an image enhancement method based on quotient space (IEQS) is proposed in this paper. Quotient space is an effective approach that can partitions the original problem in different granularity spaces. In this method, different quotient spaces are combined and the final granularity space is generated using granularity synthesis algorithm. The gray levels in each interval are mapped to the appropriate output gray-level interval. Experimental results show that IEQS can enhance the contrast of original image while preserving the brightness.


histogram equalization quotient space image enhancement granularity synthesis 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Tong Zhao
    • 1
  • Guoyin Wang
    • 1
    • 2
  • Bin Xiao
    • 1
  1. 1.Chongqing Key Laboratory of Computational IntelligenceChongqing University of Posts and TelecommunicationsChongqingChina
  2. 2.Institute of Electronic Information Technology, Chongqing Institute of Green and Intelligent TechnologyCASChongqingChina

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