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  2. Comparison gallery of image scaling algorithms - Wikipedia

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

    The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest-neighbor interpolation. Other scaling methods below are better at preserving smooth contours in the image.

  3. Image color transfer - Wikipedia

    en.wikipedia.org/wiki/Image_color_transfer

    The image modification process is sometimes called color transfer or, when grayscale images are involved, brightness transfer function (BTF); it may also be called photometric camera calibration or radiometric camera calibration. The term image color transfer is a bit of a misnomer since most common algorithms transfer both color and shading ...

  4. Matplotlib - Wikipedia

    en.wikipedia.org/wiki/Matplotlib

    Matplotlib-animation [11] capabilities are intended for visualizing how certain data changes. However, one can use the functionality in any way required. These animations are defined as a function of frame number (or time). In other words, one defines a function that takes a frame number as input and defines/updates the matplotlib-figure based ...

  5. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    An image scaled with nearest-neighbor scaling (left) and 2×SaI scaling (right) In computer graphics and digital imaging, image scaling refers to the resizing of a digital image. In video technology, the magnification of digital material is known as upscaling or resolution enhancement.

  6. Silicon Graphics Image - Wikipedia

    en.wikipedia.org/wiki/Silicon_Graphics_Image

    0x02 screen: image uses colormap. Pixel data is index in color map and image only have 1 channel. 0x03 colormap: file only have data for one color map (can use for different image file). This file no have image data. Dummy. 404 bytes. Typically unused. Scales the header to 512 bytes long.

  7. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    Corel Image Features Data Set Database of images with features extracted. Many features including color histogram, co-occurrence texture, and colormoments, 68,040 Text Classification, object detection 1999 [194] [195] M. Ortega-Bindenberger et al. Online Video Characteristics and Transcoding Time Dataset.

  8. Indexed color - Wikipedia

    en.wikipedia.org/wiki/Indexed_color

    A 2-bit indexed color image. The color of each pixel is represented by a number; each number (the index) corresponds to a color in the color table (the palette).. In computing, indexed color is a technique to manage digital images' colors in a limited fashion, in order to save computer memory and file storage, while speeding up display refresh and file transfers.

  9. 8-bit color - Wikipedia

    en.wikipedia.org/wiki/8-bit_color

    This creates a so called 3-3-2 8-bit color image, arranged like on the following table: Bit 7 6 5 4 3 2 1 0 Data R R R G G G B B. This process is sub optimal. There could be different groupings of colors that make evenly spreading the colors out inefficient and likely to misrepresent the actual image.