Enhancement of Noisy Images with Sliding Discrete Cosine Transform.

Autor: Roli, Fabio, Vitulano, Sergio, Kober, Vitaly, Michel, Erika Margarita Ramos
Zdroj: Image Analysis & Processing - ICIAP 2005; 2005, p312-319, 8p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index