Image analysis – Image compression or coding – Pyramid – hierarchy – or tree structure
Reexamination Certificate
2007-04-17
2007-04-17
Alavi, Amir (Department: 2624)
Image analysis
Image compression or coding
Pyramid, hierarchy, or tree structure
Reexamination Certificate
active
10644586
ABSTRACT:
Wavelet-based denoising is provided to an image. A corrected reference image is acquired and stored. A test image is adjusted using a selected gain setting such that the mean pixel value of the adjusted test image matches the mean pixel value of the reference image. The adjusted image is decomposed into sub-bands using a wavelet transformation. Thresholding is applied to a selected sub-band with a selected threshold setting. An inverse wavelet transformation is then applied to the sub-bands to provide a denoised image. This process is repeated such that each sub-band is tested with multiple threshold settings. The denoised images are analyzed to locate a threshold setting that is approximately optimal for each sub-band. This process is repeated for multiple light settings. A gain-threshold map is constructed by mapping each selected gain setting to the approximately optimal threshold settings for each sub-band at the selected gain setting.
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Donoho, D.L., “De-Noising By Soft-Thresholding,” IEEE Trans. Info. Theory, vol. IT-41, No. 3, pp. 933-970, May 1995.
Alavi Amir
Eastman Kodak Company
Walker Robert L.
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