A Way for Color Image Enhancement under Complex Luminance Conditions

  • Margarita Favorskaya
  • Andrey Pakhirka
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 14)


In this paper, we represent a novel method of spectrum enhancement for color and gray-scale images which were received under complex luminance and have dark or/and bright areas. Classical retinex algorithm permits to normalize dark areas and gives a result image with a large contract values especially for grey-scale images that does not satisfy a perceptive observer. Our Enhanced Multi-Scale Retinex (EMSR) algorithm is based on an adaptive equalization of spectral ranges not only in dark areas of image but also in bright areas simultaneously. We built a special function which stretches the spectral ranges with low and high values of intensity but reduces the spectral ranges with middle values. Also a method of image improvement after the EMSR algorithm application based on empirical dependences was designed and has shown better visual results as compared with existing filters.


Input Image Histogram Equalization Bright Area High Dynamic Range Image Color Filter Array 
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 2012

Authors and Affiliations

  1. 1.Siberian State Aerospace UniversityKrasnoyarskRussia

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