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  2. Hugin (software) - Wikipedia

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

    Hugin allows for the easy (optionally automatic) creation of control points between two images, optimization of the image transforms along with a preview window so the user can see whether the panorama is acceptable. Once the preview is correct, the panorama can be fully stitched, transformed and saved in a standard image format.

  3. 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.

  4. 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 ...

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  6. Alpha compositing - Wikipedia

    en.wikipedia.org/wiki/Alpha_compositing

    In computer graphics, alpha compositing or alpha blending is the process of combining one image with a background to create the appearance of partial or full transparency. [1] It is often useful to render picture elements (pixels) in separate passes or layers and then combine the resulting 2D images into a single, final image called the composite.

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    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  8. 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].

  9. Image subtraction - Wikipedia

    en.wikipedia.org/wiki/Image_subtraction

    For this technique to work, the two images must first be spatially aligned to match features between them, and their photometric values and point spread functions must be made compatible, either by careful calibration, or by post-processing (using color mapping). The complexity of the pre-processing needed before differencing varies with the ...

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