Enhancement of Noisy Images with Sliding Discrete Cosine Transform

  • Vitaly Kober
  • Erika Margarita Ramos Michel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)


Enhancement of noisy images using a sliding discrete cosine transform (DCT) is proposed. A minimum mean-square error estimator in the domain of a sliding DCT for noise removal is derived. This estimator is based on a fast inverse sliding DCT transform. Local contrast enhancement is performed by nonlinear modification of denoised local DCT coefficients. To provide image processing in real time, a fast recursive algorithm for computing the sliding DCT is utilized. The algorithm is based on a recursive relationship between three subsequent local DCT spectra. Computer simulation results using a real image are provided and discussed.


Discrete Cosine Transform Discrete Fourier Transform Image Enhancement Noisy Image Discrete Cosine Transform Coefficient 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Vitaly Kober
    • 1
  • Erika Margarita Ramos Michel
    • 2
  1. 1.Department of Computer ScienceCICESEEnsenadaMexico
  2. 2.University of ColimaColimaMexico

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