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  2. Coverage (lens) - Wikipedia

    en.wikipedia.org/wiki/Coverage_(lens)

    A “full-frame” type lens produces an image circle that is large enough to cover a 35mm sensor. Because APS-C sensors are smaller than 35mm sensors a full frame lens should be compatible with an APS-C sensor. An APS-C type lens often does not have the coverage to cast light on the entirety of a 35mm sensor, causing dark corners in the images ...

  3. Image circle - Wikipedia

    en.wikipedia.org/wiki/Image_circle

    The image circle is the cross section of the cone of light transmitted by a lens or series of lenses onto the image plane. When this light strikes a perpendicular target such as photographic film or a digital camera sensor, it forms a circle of light – the image circle. Various sensor aspect ratios may be used which all fit inside the same ...

  4. Comparison of raster-to-vector conversion software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_raster-to...

    2023 (version 12:2) $15 per month or $120 per year Proprietary: Windows Inkscape (uses Potrace) Inkscape.org 2003 2023 (version 1.3) Free GPL-2.0-or-later: Windows, macOS, Linux ImageTracer: András Jankovics 2015 2020 (version 1.2.6) Free Public domain Cross-platform (platforms that can run JavaScript or Java) Potrace: Peter Selinger 2001

  5. Crop factor - Wikipedia

    en.wikipedia.org/wiki/Crop_factor

    For example, a 28 mm lens delivers a moderately wide-angle FOV on a 35 mm format full-frame camera, but on a camera with a 1.6 crop factor, an image made with the same lens will have the same field of view that a full-frame camera would make with a ~45 mm lens (28 × 1.6 = 44.8). This narrowing of the FOV is a disadvantage to photographers when ...

  6. File:White on black circle image 256 by 256.png - Wikipedia

    en.wikipedia.org/wiki/File:White_on_black_circle...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Help; Learn to edit; Community portal; Recent changes; Upload file

  7. Circle Hough Transform - Wikipedia

    en.wikipedia.org/wiki/Circle_Hough_Transform

    The circle Hough Transform (CHT) is a basic feature extraction technique used in digital image processing for detecting circles in imperfect images. The circle candidates are produced by “voting” in the Hough parameter space and then selecting local maxima in an accumulator matrix. It is a specialization of the Hough transform.

  8. Midpoint circle algorithm - Wikipedia

    en.wikipedia.org/wiki/Midpoint_circle_algorithm

    A circle of radius 23 drawn by the Bresenham algorithm. In computer graphics, the midpoint circle algorithm is an algorithm used to determine the points needed for rasterizing a circle. It is a generalization of Bresenham's line algorithm. The algorithm can be further generalized to conic sections. [1] [2] [3]

  9. Zone plate - Wikipedia

    en.wikipedia.org/wiki/Zone_plate

    where n is an integer, λ is the wavelength of the light the zone plate is meant to focus and f is the distance from the center of the zone plate to the focus. When the zone plate is small compared to the focal length, this can be approximated as r nn λ f {\displaystyle r_{n}\simeq {\sqrt {n\lambda f}}}