Spline and Spline Wavelet Methods with Applications to Signal and Image Processing by Amir Z. Averbuch Pekka Neittaanmaki & Valery A. Zheludev

Author:Amir Z. Averbuch, Pekka Neittaanmaki & Valery A. Zheludev
Language: eng
Format: epub
Publisher: Springer Netherlands, Dordrecht

Fig. 10.16The original “Fingerprint” image

Example: Restoration of the “Fingerprint” image from strongly noised input:

In this experiment, columns of the “Fingerprint” image (Fig. 10.16) are buried in strong Gaussian white noise whose STD is No blurring is applied. The input PSNR is 14.14. We utilized the spline wavelet packets of fourth order (cubic splines) from levels 1 to 6: . The width of the band for noise modeling was chosen to be 400, the stopping threshold being , which reduced the dictionaries to 52 waveforms.

Fig. 10.17Restoration of the “Fingerprint” image from the input affected by Gaussian noise (STD 50)

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