CLAHE (adaptive histogram equalize)

POST /api/image-clahe

Apply CLAHE — adaptive contrast enhancement that works on local regions instead of globally. Useful for shadowed, low-contrast, or medical images.

CLAHE is a more sophisticated form of histogram equalisation that operates on local tiles instead of the whole image. The "contrast-limited" part prevents amplifying noise in flat regions. Useful for: - Shadowed photos where global tonal correction would blow out highlights. - Medical / scientific imagery with low local contrast. - Pre-processing before OCR or edge detection on uneven documents.

Inputs

Name	Type	Default	Description
image*	file	—	Input image bytes.
clipLimit	number (0.5…40)	2	Contrast clip limit. Higher = more aggressive.
tileSize	number (2…64)	8	Side length of each square tile.

Response

Modes: binary, json. Cache: yes (24h TTL).