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  2. Block-matching and 3D filtering - Wikipedia

    en.wikipedia.org/wiki/Block-matching_and_3D...

    Block-matching and 3D filtering (BM3D) is a 3-D block-matching algorithm used primarily for noise reduction in images. [1] It is one of the expansions of the non-local means methodology. [ 2 ] There are two cascades in BM3D: a hard-thresholding and a Wiener filter stage, both involving the following parts: grouping, collaborative filtering ...

  3. Category:Image noise reduction techniques - Wikipedia

    en.wikipedia.org/wiki/Category:Image_noise...

    This category collects Wikipedia articles on techniques for removal or reduction of noise and artifacts from images and multi-dimensional data. Pages in category "Image noise reduction techniques" The following 19 pages are in this category, out of 19 total.

  4. Photon-counting computed tomography - Wikipedia

    en.wikipedia.org/wiki/Photon-counting_computed...

    The removal of electronic noise gives PCDs two advantages over EIDs. First, higher signal-to-noise and contrast-to-noise ratios are expected from using PCDs compared to EIDs. This can either be used to increase the image quality at the same X-ray exposure level, or to lower the patient X-ray dose whilst maintaining the same image quality.

  5. Noise reduction - Wikipedia

    en.wikipedia.org/wiki/Noise_reduction

    Noise reduction is the process of removing noise from a signal. Noise reduction techniques exist for audio and images. Noise reduction algorithms may distort the signal to some degree. Noise rejection is the ability of a circuit to isolate an undesired signal component from the desired signal component, as with common-mode rejection ratio.

  6. Category:Noise reduction - Wikipedia

    en.wikipedia.org/wiki/Category:Noise_reduction

    Image noise reduction techniques (19 P) N. Noise reduction systems (3 C, 9 P) Pages in category "Noise reduction" The following 21 pages are in this category, out of ...

  7. Total variation denoising - Wikipedia

    en.wikipedia.org/wiki/Total_variation_denoising

    The regularization parameter plays a critical role in the denoising process. When =, there is no smoothing and the result is the same as minimizing the sum of squares.As , however, the total variation term plays an increasingly strong role, which forces the result to have smaller total variation, at the expense of being less like the input (noisy) signal.

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  9. Medical optical imaging - Wikipedia

    en.wikipedia.org/wiki/Medical_optical_imaging

    Furthermore, more scattered 'quasi-ballistic' photons are often measured as well to increase the signal 'strength' (i.e., signal-to-noise ratio). Due to the exponential reduction (with respect to distance) of ballistic photons in a scattering medium, often image processing techniques are applied to the raw captured ballistic images, to ...