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Transform domain algorithm for reducing effect of film-grain noise in image compression

Transform domain algorithm for reducing effect of film-grain noise in image compression

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An algorithm for decreasing the effect of film-grain noise in image compression is proposed. The algorithm operates in the transform domain in conjunction with quantisation. Although any orthogonal transform is suitable for this application, the orthogonal wavelet transform is preferred due to the simplicity in calculating the filter coefficients.

Inspec keywords: interference suppression; filtering theory; data compression; image enhancement; noise; quantisation (signal); image coding; wavelet transforms

Other keywords: quantisation; film-grain noise; denoising; filter coefficients calculation; photographic films; transform domain algorithm; orthogonal wavelet transform; image compression; noise corrupted image

Subjects: Image and video coding; Integral transforms in numerical analysis; Signal processing theory; Computer vision and image processing techniques; Filtering methods in signal processing; Integral transforms in numerical analysis

References

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      • J.M. Shapiro . Embedded image coding using zerotrees of wavelet coefficients. IEEE Trans. Signal Process. , 12 , 3445 - 3462
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      • Öktem, R., Yarovslavsky, L., Egiazarian, K.: `Signal and image denoising in transform domain and wavelet shrinkage:a comparativestudy', Proc. European Signal Processing Conf., 8–11 September 1998, 4, Island of Rhodes, Greece, p. 2269–2272.
    3. 3)
      • O.K. Al-Shaykh , R.M. Mersereau . Lossy compression of noisy images. IEEE Trans. Image Process. , 12 , 1641 - 1652
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      • T.R. Fischer , J.D. Gibson , B. Koo . Estimation and noisy source coding. IEEE Trans. Acoust. Speech Signal Process. , 1 , 23 - 34
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      • C. Kappeler , S.P. Müller . Wavelet compression of noisy tomographic images. Proc. SPIE , 644 - 652
    6. 6)
      • Öktem, R., Egiazarian, K.: `A transform domain method for filtering film-grain type noise', to be published in Proc. Second Int. Conf. Information, Communications,and Signal Processing, 7–10 December 1999, Singapore.
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