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Image fusion methods can be broadly classified into two groups – spatial domain fusion and transform domain fusion. The fusion methods such as averaging, Brovey method, principal component analysis and IHS based methods fall under spatial domain approaches. Another important spatial domain fusion method is the high-pass filtering based technique.
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 ...
In image processing, computer graphics, and photography, exposure fusion is a technique for blending multiple exposures of the same scene into a single image. As in high dynamic range imaging ( HDRI or just HDR ), the goal is to capture a scene with a higher dynamic range than the camera is capable of capturing with a single exposure.
Fusion night vision combines I² (image intensification) with thermal imaging, which functions in the medium (MWIR 3-5 μm) and/or long (LWIR 8-14 μm) wavelength range. [42] Initial models appeared in the 2000s. [32] Dedicated fusion devices and clip-on imagers that add a thermal overlay to standard I² night vision devices are available. [43]
Tone mapped high-dynamic-range (HDR) image of St. Kentigern's Church in Blackpool, Lancashire, England. In photography and videography, multi-exposure HDR capture is a technique that creates high dynamic range (HDR) images (or extended dynamic range images) by taking and combining multiple exposures of the same subject matter at different exposures.
Nuclear imaging is, in a sense, radiology done inside out, because it records radiation emitted from within the body rather than radiation that is transmitted through the body from external sources like X-ray generators. In addition, nuclear medicine scans differ from radiology, as the emphasis is not on imaging anatomy, but on the function.
Direct fusion is the fusion of sensor data from a set of heterogeneous or homogeneous sensors, soft sensors, and history values of sensor data, while indirect fusion uses information sources like a priori knowledge about the environment and human input. Sensor fusion is also known as (multi-sensor) data fusion and is a subset of information fusion.
MRI-guided prostate biopsy appears to be superior to standard TRUS-biopsy in prostate cancer detection. Several groups in the U.S., [15] [16] and Europe, [17] [18] have demonstrated that targeted biopsies obtained with fusion imaging are more likely to reveal cancer than blind systematic biopsies. In 2015, AdMeTech Foundation, American College ...