Multi-image Enhancement Technique Using Max-Plus Algebra-Based Morphological Wavelet Transform

  • Sreekala Kannoth
  • Halugona C. Sateesh Kumar
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 968)


Image enhancement is the process of improving the quality of a digitally stored image so that it is more suitable for certain applications. Here a multiimage enhancement method is proposed which uses non linear wavelets. Though wavelet transform is a linear operation, nonlinear extensions can be made by combining it with mathematical morphology. Max-plus algebra based morphological wavelet transform is a type of non-linear wavelet. Unlike the linear wavelet, this wavelet transform uses maximum and minimum operations instead of linear analysis filters. It is used to maintain the edge information of reconstructed image. The original image is decomposed into scaled, horizontal, vertical and diagonal components using max-plus algebra based morphological wavelet transform. These components undergo bilinear interpolation and coefficients are combined by averaging. Then it undergoes inverse transformation to produce a high resolution image. This method results in less mathematical calculations than other existing methods. Performance comparison parameters are calculated for the output image and it is compared with the parameters obtained from other techniques.


Max-plus algebra Morphological wavelet Mathematical morphology SURF Bilinear interpolation 


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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Visvesvaraya Technological UniversityBelgaumIndia
  2. 2.Sai Vidya Institute of TechnologyBangaloreIndia

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