Image denoising apparatus and method

Image analysis – Image enhancement or restoration – Artifact removal or suppression

Reexamination Certificate

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Reexamination Certificate

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07496240

ABSTRACT:
According to an image de-noising method, an original image is corrected into an intermediate correction image. A differential image is determined between the original image and the intermediate correction image. Each pixel in the differential image has a differential pixel value equal to a difference between the pixel value of the corresponding pixel in the original image and the corrected pixel value of the corresponding pixel in the intermediate correction image. A pixel-dependent conversion parameter is determined at each pixel based on the differential pixel value at the each pixel in the differential image. The original image is corrected into a final correction image by using the pixel-dependent conversion parameter.

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Gonzalez, Digital Image Processing, Nov. 2001, Prentice Hall, 2, p. 239.
Hu et al., Adaptive Total Variation Based on Feature Scale, Signal Processing, ICSP 2004, Dec. 17-19, 2004, pp. 245-248.
Rudin et al., Nonlinear Total Variation Based Noise Removal Algorithms, Physica D 60, 259-268, (1992).

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