Adaptive digital image filtering in wavelet domain

• Autorzy: Eghbali H. J.
• Języki publikacji: EN

Abstrakty

EN

In recent years wavelet transforms have been widely used for image denoising. This is because wavelet transform represents both the stationary and the transient behavior of the image. In this paper an adaptive filtering method is used for removing additive white Gaussian noise. It is based on statistics estimated from a local neighborhood of each wavelet coefficient. Denoising results compare favorably to the shrinkage denoising method, both perceptually and in terms of signal to noise ratio (SNR). The performance of the method is compared to shrinkage denoising method for both low and high (SNR) images.

Słowa kluczowe

EN

image denoising; wavelet coefficients; shrinkage; statistic; adaptive filtering

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2003
• Tom: Vol. 12, No. 2
• Strony: 279--290
• Opis fizyczny: Bibliogr. 23 poz., rys.

Twórcy

autor

Eghbali H. J.

• Deparetment of Computer Science and Engineering, Shiraz University, Shiraz, Iran

Bibliografia

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