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  2. Pixel-art scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Pixel-art_scaling_algorithms

    Each interpolation approach boils down to weighted averages of neighboring pixels. The goal is to find the optimal weights. Bilinear interpolation sets all the weights to be equal. Higher-order interpolation methods such as bicubic or sinc interpolation consider a larger number of neighbors than just the adjacent ones.

  3. Slerp - Wikipedia

    en.wikipedia.org/wiki/Slerp

    In computer graphics, slerp is shorthand for spherical linear interpolation, introduced by Ken Shoemake [1] in the context of quaternion interpolation for the purpose of animating 3D rotation. It refers to constant-speed motion along a unit-radius great circle arc, given the ends and an interpolation parameter between 0 and 1.

  4. Comparison gallery of image scaling algorithms - Wikipedia

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

    Examples of algorithms for this task include New Edge-Directed Interpolation (NEDI), [1] [2] Edge-Guided Image Interpolation (EGGI), [3] Iterative Curvature-Based Interpolation (ICBI), [citation needed] and Directional Cubic Convolution Interpolation (DCCI). [4] A study found that DCCI had the best scores in PSNR and SSIM on a series of test ...

  5. Interpolation (computer graphics) - Wikipedia

    en.wikipedia.org/wiki/Interpolation_(computer...

    The computed interpolation process is then used to insert many new values in between these key points to give a "smoother" result. In its simplest form, this is the drawing of two-dimensional curves. The key points, placed by the artist, are used by the computer algorithm to form a smooth curve either through, or near these points.

  6. Sample-rate conversion - Wikipedia

    en.wikipedia.org/wiki/Sample-rate_conversion

    The length of the impulse response of the filter in method 1 corresponds to the number of points used in interpolation in method 2. In method 1, a slow pre-computation (such as the Remez algorithm) can be used to obtain an optimal (per application requirements) filter design. Method 2 will work in more general cases, e.g. where the ratio of ...

  7. Motion interpolation (computer graphics) - Wikipedia

    en.wikipedia.org/wiki/Motion_Interpolation...

    Motion interpolation is a programming technique in data-driven character animation that creates transitions between example motions and extrapolates new motions. Example motions are often created through keyframing or motion capture. However, keyframing is labor-intensive and lacks varieties of motion, and both processes result in motions that ...

  8. Motion interpolation - Wikipedia

    en.wikipedia.org/wiki/Motion_interpolation

    Comparison of a slow down video without interframe interpolation (left) and with motion interpolation (right) Motion interpolation or motion-compensated frame interpolation (MCFI) is a form of video processing in which intermediate film, video or animation frames are generated between existing ones by means of interpolation, in an attempt to make animation more fluid, to compensate for display ...

  9. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem.According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts.