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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-07-13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."],[[["Resamples an image using bilinear or bicubic interpolation, resulting in an identical image but with different pixel computation for projections and pyramid levels."],["Relies on the input image's inherent projection and is unsuitable for composite images, which require individual component resampling."],["Offers 'bilinear' and 'bicubic' as interpolation modes, impacting how pixel values are calculated during resampling."],["The function `Image.resample()` takes the image and the desired interpolation mode as input and returns the resampled image."]]],[]]