Multiple Decision Model for Image Denoising in Wavelet Transform Domain 


Vol. 29,  No. 7, pp. 937-945, Jul.  2004


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  Abstract

A binary decision model which is used to denoising has demerits to measure the precise ratio of signal to noise because of only a binary classification. To supplement these demerits, complex statistical model and undecimated wavelet transform are generally exploited. In this paper, we propose a noise reduction method using a multi-level decision model for measuring the ratio of noise in noisy image. The propose method achieves good denoising performance with orthogonal wavelet transform because the ratio of signal to noise can be calculated to multi-valued form. In simulation results, the proposed denoising method outperforms O.ldS in the PSNR sense than the state of an denoising algorithms using orthogonal wavelet transform.

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  Cite this article

[IEEE Style]

I. Eom and Y. Kim, "Multiple Decision Model for Image Denoising in Wavelet Transform Domain," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 7, pp. 937-945, 2004. DOI: .

[ACM Style]

Il-kyu Eom and Yoo-shin Kim. 2004. Multiple Decision Model for Image Denoising in Wavelet Transform Domain. The Journal of Korean Institute of Communications and Information Sciences, 29, 7, (2004), 937-945. DOI: .

[KICS Style]

Il-kyu Eom and Yoo-shin Kim, "Multiple Decision Model for Image Denoising in Wavelet Transform Domain," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 7, pp. 937-945, 7. 2004.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880