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  2. Image fusion - Wikipedia

    en.wikipedia.org/wiki/Image_fusion

    The image fusion process is defined as gathering all the important information from multiple images, and their inclusion into fewer images, usually a single one. This single image is more informative and accurate than any single source image, and it consists of all the necessary information.

  3. Multispectral imaging - Wikipedia

    en.wikipedia.org/wiki/Multispectral_imaging

    Multispectral imaging captures image data within specific wavelength ranges across the electromagnetic spectrum. The wavelengths may be separated by filters or detected with the use of instruments that are sensitive to particular wavelengths, including light from frequencies beyond the visible light range (i.e. infrared and ultraviolet ).

  4. Multi-focus image fusion - Wikipedia

    en.wikipedia.org/wiki/Multi-focus_image_fusion

    Image fusion based on the multi-scale transform is the most commonly used and promising technique. Laplacian pyramid transform, gradient pyramid-based transform, morphological pyramid transform and the premier ones, discrete wavelet transform, shift-invariant wavelet transform (SIDWT), and discrete cosine harmonic wavelet transform (DCHWT) are some examples of image fusion methods based on ...

  5. Spectral imaging - Wikipedia

    en.wikipedia.org/wiki/Spectral_imaging

    The taken images build a mathematical base with enough information to reconstruct data for each pixel with a high spectral resolution. This is the approach followed by the Hypercolorimetric Multispectral Imaging [ 6 ] (HMI) of Profilocolore [ 7 ] SRL.

  6. Pansharpening - Wikipedia

    en.wikipedia.org/wiki/Pansharpening

    Pansharpening is a process of merging high-resolution panchromatic and lower resolution multispectral imagery to create a single high-resolution color image. [1] Google Maps and nearly every map creating company use this technique to increase image quality. Pansharpening produces a high-resolution color image from three, four or more low ...

  7. Multispectral optoacoustic tomography - Wikipedia

    en.wikipedia.org/wiki/Multispectral_optoacoustic...

    Multi-spectral. MSOT collects images at multiple wavelengths and resolves the spectral signatures in each voxel imaged, making it a multi-spectral method. Typically, MSOT is used to generate three images: one anatomical image at a single wavelength, one functional image resolving oxy- and deoxy-hemoglobin concentrations, and a third image resolving additional target photoabsorber(s).

  8. AstraZeneca bets on new cancer treatments with $2 billion ...

    www.aol.com/news/astrazeneca-bets-cancer...

    The drugmaker will pay $21 per Fusion share, a premium of more than 97% to the U.S.-listed company's closing price on Monday. AstraZeneca bets on new cancer treatments with $2 billion Fusion ...

  9. Multispectral pattern recognition - Wikipedia

    en.wikipedia.org/wiki/Multispectral_pattern...

    Subcategories of multispectral remote sensing include hyperspectral, in which hundreds of bands are collected and analyzed, and ultraspectral remote sensing where many hundreds of bands are used (Logicon, 1997). The main purpose of multispectral imaging is the potential to classify the image using multispectral classification.