Application of Fuzzy Logic and Lukasiewicz Operators for Image Contrast Control

  • Angel Barriga
  • Nashaat Mohamed Hussein Hassan
Part of the Studies in Computational Intelligence book series (SCI, volume 372)


This chapter reviews image enhancement techniques. In particular the chapter is focused in soft computing technique to improve the contrast of images. There is a wide variety of contrast control techniques. However, most are not suitable for hardware implementation. A technique to control the contrast in images based on the application of Lukasiewicz algebra operators and fuzzy logic is described. In particular, the technique is based on the bounded-sum and the bounded-product . The selection of the control parameters is performed by a fuzzy system. An interesting feature when applying these operators is that it allows low cost hardware realizations (in terms of resources) and high processing speed.


Membership Function Fuzzy Logic Fuzzy System Image Enhancement Cumulative Density Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Angel Barriga
    • 1
  • Nashaat Mohamed Hussein Hassan
    • 1
  1. 1.Instituto de Microelectronica de Sevilla (CNM-CSIC)University of SevilleSpain

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