Abstract
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.
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Keywords
- Discrete Cosine Transform
- Discrete Fourier Transform
- Image Enhancement
- Noisy Image
- Discrete Cosine Transform Coefficient
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Kober, V., Michel, E.M.R. (2005). Enhancement of Noisy Images with Sliding Discrete Cosine Transform. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_38
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DOI: https://doi.org/10.1007/11553595_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28869-5
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