Resize Image

Category: Image

Status: Registered and callable in the CyberChef 11.3.0 compatibility inventory.

Input / output: ArrayBuffer → ArrayBuffer

Background: https://wikipedia.org/wiki/Image_scaling

What it does

Resizes an image to the specified width and height values.

Note

Status here means the operation name is implemented and callable. It does not by itself promise byte-for-byte parity for every upstream option. See Compatibility and current status for the verified scope and known boundaries.

Arguments and options

Arguments are positional. Keep their order when using bake() or Pipeline.then().

Index	Name	UI type	PyChef default	Accepted values / format
`0`	Width	`number`	`100`	A Python integer or floating-point value
`1`	Height	`number`	`100`	A Python integer or floating-point value
`2`	Unit type	`option`	`'Pixels'`	`'Pixels'`, `'Percent'`
`3`	Maintain aspect ratio	`boolean`	`False`	`True` or `False`
`4`	Resizing algorithm	`option`	`'Bilinear'`	`'Nearest Neighbour'`, `'Bilinear'`, `'Bicubic'`, `'Hermite'`, `'Bezier'`

Recipe template

Important

This is a call template built from the documented defaults. Replace placeholder values such as empty keys, paths, patterns, or lookup data before running it.

from pychef import bake

input_value = b"example"
args = [100, 100, 'Pixels', False, 'Bilinear']
result = bake(input_value, [{"op": 'Resize Image', "args": args}])
print(result)

Pipeline example

from pychef import Pipeline

args = [100, 100, 'Pixels', False, 'Bilinear']
transform = Pipeline().then('Resize Image', *args)
result = transform(b"example")

Direct call

pychef.ops.run_operation runs any registered operation as a plain function, under the active ExecutionPolicy (safe defaults, no network):

from pychef.ops import run_operation

args = [100, 100, 'Pixels', False, 'Bilinear']
result = run_operation('Resize Image', b"example", args=args)

Common operations also have typed helpers in Direct operations.

Low-level operation module

Warning

The module below is an internal implementation detail. It applies no execution policy, resource limits, or error sanitization; prefer bake(), Pipeline, or pychef.ops for application code.

The registered entry point lives in pychef.operations.by_operation.resize_image. Direct calls receive the input value and a positional argument tuple:

from pychef.operations.by_operation.resize_image import run

result = run(b"example", tuple([100, 100, 'Pixels', False, 'Bilinear']))

pychef.operations.by_operation.resize_image.run(value, args)

Run this operation using its shared internal implementation.

Parameters:

value (str | bytes)
args (Sequence[Any])

Return type:

str | bytes