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Apply Contrast Limited Adaptive Histogram Equalization for local contrast enhancement
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Tool usage guide
Enhance the visual clarity of your images using Contrast Limited Adaptive Histogram Equalization (CLAHE). This tool improves local contrast by dividing images into tiles, allowing you to reveal hidden details in underexposed or low-contrast areas without over-amplifying noise.
Background
A landscape photo was taken during sunset, resulting in deep, featureless shadows in the foreground.
Problem
The foreground details are lost due to low contrast in the dark areas.
How to use
Upload the image and set a moderate Tile Size of 64 with a Contrast Limit of 3.0 to gently lift the shadows.
tileSize: 64, contrastLimit: 3.0Outcome
The foreground textures become visible and well-defined without washing out the bright sky.
Background
A grayscale medical scan contains subtle features that are difficult to distinguish from the background noise.
Problem
Global contrast adjustments make the image too harsh, obscuring the specific features needed for analysis.
How to use
Use a smaller Tile Size of 32 and a lower Contrast Limit to focus on local feature enhancement.
CLAHE stands for Contrast Limited Adaptive Histogram Equalization. It is an image processing technique that enhances contrast locally rather than globally, preventing the over-amplification of noise.
Smaller tile sizes provide more localized contrast enhancement, which is great for fine details, while larger tiles provide a smoother, more global-like adjustment.
High contrast limit settings can amplify noise. If your image appears grainy after processing, try lowering the Contrast Limit value.
You can upload JPEG, PNG, WebP, GIF, BMP, and TIFF files. You can also choose to convert your output to a different format.
Yes, the tool supports individual image files up to 20MB.
tileSize: 32, contrastLimit: 2.0Outcome
Local structures are significantly clearer, allowing for more accurate observation of the scan data.