createTonemapMantiuk

Computational photographyfunctionOpenCV 5.0.0

import { createTonemapMantiuk } from '@banou/opencv-wasm'

Use after await initOpenCV(). See the initialization and named imports guide.

Explore visually: HDR merging and tone mapping →

Combine exposure information or fuse well-exposed regions, then map the result into a displayable range.

VISUAL WALKTHROUGHPhotography

REFERENCE INPUTBracketed exposures

Different exposures preserve useful information in different intensity ranges.

→

RESULTMap the merged result for display

The drawing illustrates combined visibility. Radiance estimation and exposure fusion have different outputs; tone mapping applies to a radiance result.

Illustrative example. The stages explain the method; they are not a live OpenCV execution.

Creates TonemapMantiuk object

createTonemapMantiuk(gamma: number, scale: number, saturation: number): TonemapMantiuk | null;

4 available overloads

createTonemapMantiuk(): TonemapMantiuk | null;

createTonemapMantiuk(gamma: number): TonemapMantiuk | null;

createTonemapMantiuk(gamma: number, scale: number): TonemapMantiuk | null;

createTonemapMantiuk(gamma: number, scale: number, saturation: number): TonemapMantiuk | null;

gamma

gamma value for gamma correction. See createTonemap

scale

contrast scale factor. HVS response is multiplied by this parameter, thus compressing dynamic range. Values from 0.6 to 0.9 produce best results.

saturation

saturation enhancement value. See createTonemapDrago

Returns

The TonemapMantiuk | null result.

Upstream declaration ↗

These signatures describe this package. Upstream documentation can mention optional backends that are absent from this build. Check runtime compatibility before choosing a backend or file format.