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An algorithm that returns an image identical to its argument, but which uses bilinear or bicubic interpolation (rather than the default nearest-neighbor) to compute pixels in projections other than its native projection or other levels of the same image pyramid.
This relies on the input image's default projection being meaningful, and so cannot be used on composites, for example. (Instead, you should resample the images that are used to create the composite.)
Usage
Returns
Image.resample(mode)
Image
Argument
Type
Details
this: image
Image
The Image to resample.
mode
String, default: "bilinear"
The interpolation mode to use. One of 'bilinear' or 'bicubic'.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-07-13 UTC."],[],["The algorithm resamples an input image using either bilinear or bicubic interpolation, departing from the default nearest-neighbor method. This is applied when calculating pixels in projections outside the image's native projection or in different levels of the image pyramid. The input image must have a meaningful default projection; therefore, it cannot be used on composites. The function, `Image.resample(mode)`, accepts an `Image` and a `mode` string (\"bilinear\" or \"bicubic\") as arguments, and returns a resampled `Image`.\n"]]