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  2. Trilinear filtering - Wikipedia

    en.wikipedia.org/wiki/Trilinear_filtering

    Trilinear filtering is an extension of the bilinear texture filtering method, which also performs linear interpolation between mipmaps. [1] [2]Bilinear filtering has several weaknesses that make it an unattractive choice in many cases: using it on a full-detail texture when scaling to a very small size causes accuracy problems from missed texels, and compensating for this by using multiple ...

  3. Comparison gallery of image scaling algorithms - Wikipedia

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

    Linear (or bilinear, in two dimensions) interpolation is typically good for changing the size of an image, but causes some undesirable softening of details and can still be somewhat jagged. Bicubic interpolation

  4. Multilinear map - Wikipedia

    en.wikipedia.org/wiki/Multilinear_map

    A multilinear map of one variable is a linear map, and of two variables is a bilinear map. More generally, for any nonnegative integer , a multilinear map of k variables is called a k-linear map. If the codomain of a multilinear map is the field of scalars, it is called a multilinear form.

  5. Texture filtering - Wikipedia

    en.wikipedia.org/wiki/Texture_filtering

    Trilinear filtering solves this by doing a texture lookup and bilinear filtering on the two closest mipmap levels (one higher and one lower quality), and then linearly interpolating the results. [9] This results in a smooth degradation of texture quality as distance from the viewer increases, rather than a series of sudden drops.

  6. Trilinear interpolation - Wikipedia

    en.wikipedia.org/wiki/Trilinear_interpolation

    Trilinear interpolation is the extension of linear interpolation, which operates in spaces with dimension =, and bilinear interpolation, which operates with dimension =, to dimension =. These interpolation schemes all use polynomials of order 1, giving an accuracy of order 2, and it requires 2 D = 8 {\displaystyle 2^{D}=8} adjacent pre-defined ...

  7. Multivariate interpolation - Wikipedia

    en.wikipedia.org/wiki/Multivariate_interpolation

    Bilinear interpolation; Bicubic interpolation; Bézier surface; Lanczos resampling; Delaunay triangulation; Bitmap resampling is the application of 2D multivariate interpolation in image processing. Three of the methods applied on the same dataset, from 25 values located at the black dots. The colours represent the interpolated values.

  8. Bicubic interpolation - Wikipedia

    en.wikipedia.org/wiki/Bicubic_interpolation

    To find either of the single derivatives, or , using that method, find the slope between the two surrounding points in the appropriate axis. For example, to calculate f x {\displaystyle f_{x}} for one of the points, find f ( x , y ) {\displaystyle f(x,y)} for the points to the left and right of the target point and calculate their slope, and ...

  9. Anisotropic filtering - Wikipedia

    en.wikipedia.org/wiki/Anisotropic_filtering

    Sixteen trilinear anisotropic samples might require 128 samples from the stored texture, as trilinear mipmap filtering needs to take four samples for each of the two mipmaps and then anisotropic sampling (at 16-tap) needs to take sixteen of these trilinear filtered probes. However, this level of filtering complexity is not required all the time.