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  2. OpenCV - Wikipedia

    en.wikipedia.org/wiki/OpenCV

    OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel, it was later supported by Willow Garage, then Itseez (which was later acquired by Intel [3]).

  3. Normalization (image processing) - Wikipedia

    en.wikipedia.org/wiki/Normalization_(image...

    max is the maximum value for color level in the input image within the selected kernel. min is the minimum value for color level in the input image within the selected kernel. [4] Local contrast stretching considers each range of color palate in the image (R, G, and B) separately, providing a set of minimum and maximum values for each color palate.

  4. Computer vision - Wikipedia

    en.wikipedia.org/wiki/Computer_vision

    In image processing, the input is an image and the output is an image as well, whereas in computer vision, an image or a video is taken as an input and the output could be an enhanced image, an understanding of the content of an image or even behavior of a computer system based on such understanding.

  5. Subpixel rendering - Wikipedia

    en.wikipedia.org/wiki/Subpixel_rendering

    Examples of pixel geometry, showing various arrangements of pixels and subpixels, which must be considered for subpixel rendering.LCD displays consisting of red, green, and blue subpixels (bottom right is the most typical example) are best suited to subpixel rendering.

  6. Skia Graphics Engine - Wikipedia

    en.wikipedia.org/wiki/Skia_Graphics_Engine

    The Skia Graphics Engine or Skia is an open-source 2D graphics library written in C++. Skia abstracts away platform-specific graphics APIs (which differ from one to another). [ 1 ] Skia Inc. originally developed the library; Google acquired it in 2005, [ 2 ] and then released the software as open source licensed under the New BSD free software ...

  7. Image registration - Wikipedia

    en.wikipedia.org/wiki/Image_registration

    Image registration or image alignment algorithms can be classified into intensity-based and feature-based. [3] One of the images is referred to as the moving or source and the others are referred to as the target, fixed or sensed images. Image registration involves spatially transforming the source/moving image(s) to align with the target image.

  8. ImageJ - Wikipedia

    en.wikipedia.org/wiki/ImageJ

    It can read many image file formats, including TIFF, PNG, GIF, JPEG, BMP, DICOM, and FITS, as well as raw formats. ImageJ supports image stacks, a series of images that share a single window, and it is multithreaded, so time-consuming operations can be performed in parallel on multi-CPU hardware. ImageJ can calculate area and pixel value ...

  9. Gaussian blur - Wikipedia

    en.wikipedia.org/wiki/Gaussian_blur

    Gaussian blurring is commonly used when reducing the size of an image. When downsampling an image, it is common to apply a low-pass filter to the image prior to resampling. This is to ensure that spurious high-frequency information does not appear in the downsampled image . Gaussian blurs have nice properties, such as having no sharp edges, and ...