IDETIFYING OF NOISE TYPES AND ESTIMATING OF NOISE LEVEL FOR A NOISY IMAGE IN THE WAVELET DOMAIN

[in Chinese]; [in Chinese]; [in Chinese]; [in Chinese]

Journals >Journal of Infrared and Millimeter Waves >Volume 23 >Issue 4 >Page 281 > Article

Journal of Infrared and Millimeter Waves
Vol. 23, Issue 4, 281 (2004)

IDETIFYING OF NOISE TYPES AND ESTIMATING OF NOISE LEVEL FOR A NOISY IMAGE IN THE WAVELET DOMAIN

[in Chinese]¹, [in Chinese]², [in Chinese]³, and [in Chinese]⁴

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

⁴[in Chinese]

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DOI: Cite this Article

[in Chinese], [in Chinese], [in Chinese], [in Chinese]. IDETIFYING OF NOISE TYPES AND ESTIMATING OF NOISE LEVEL FOR A NOISY IMAGE IN THE WAVELET DOMAIN[J]. Journal of Infrared and Millimeter Waves, 2004, 23(4): 281 Copy Citation Text

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References

[3] Chang S Grace, Bin Yu, Martin Vetterli. Spatially adaptive wavelet thresholding with context modeling for image denoising[J]. IEEE Trans. on Image Processing, 2000, 9(9): 1522-1531.

[4] Meer P, Jolion J, Rosenfeld A. A fast parallel algorithm for blind estimation of noise variance[J]. IEEE Trans. on Pattern Algorithm and Machine Intelligence, 1990, 12(2): 216-223.

[5] Zhang Z, BlumRick S. On estimating the quality of noisy images[A]. IEEE International Conference on Acoustic Speech and Signal Processing, 1998, 5: 2897-2900.

[6] Donoho D L, Johnstone I M. Ideal spatial adaptaition via wavelet shrinkage[J]. Biometrika, 1994, 81: 425-455.

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