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  2. Image stitching - Wikipedia

    en.wikipedia.org/wiki/Image_stitching

    Two images stitched together. The photo on the right is distorted slightly so that it matches up with the one on the left. Image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image.

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  4. Hugin (software) - Wikipedia

    en.wikipedia.org/wiki/Hugin_(software)

    combine overlapping images for panoramic photography; correct complete panorama images, e.g. those that are "wavy" due to a badly levelled panoramic camera; stitch large mosaics of images and photos, e.g. of long walls or large microscopy samples; find control points and optimize parameters with the help of software assistants/wizards

  5. Template:Multiple image - Wikipedia

    en.wikipedia.org/wiki/Template:Multiple_image

    This template creates a box with two to ten images arranged vertically or horizontally with captions for the entire box and each image. Template parameters [Edit template data] This template has custom formatting. Parameter Description Type Status Alignment align Sets text-wrapping around image box, where "none" places the box on the left edge with no text-wrapping, "center" places the box at ...

  6. Image Composite Editor - Wikipedia

    en.wikipedia.org/wiki/Image_Composite_Editor

    Image Composite Editor is an advanced panoramic image stitcher made by the Microsoft Research [1] division of Microsoft Corporation. The application takes a set of overlapping photographs of a scene shot from a single camera location and creates a high-resolution panorama incorporating all the source images at full resolution.

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  8. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    Scalable Vector Graphics are well suited to simple geometric images, while photographs do not fare well with vectorization due to their complexity. Note that the special characteristics of vectors allow for greater resolution example images. The other algorithms are standardized to a resolution of 160x160 and 218x80 pixels respectively.

  9. Image rectification - Wikipedia

    en.wikipedia.org/wiki/Image_rectification

    If the images to be rectified are taken from camera pairs without geometric distortion, this calculation can easily be made with a linear transformation.X & Y rotation puts the images on the same plane, scaling makes the image frames be the same size and Z rotation & skew adjustments make the image pixel rows directly line up [citation needed].

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