Key Facts
- Category
- Design
- Input Types
- file, range, select, number
- Output Type
- file
- Sample Coverage
- 4
- API Ready
- Yes
Overview
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.
When to Use
- •Improving visibility in medical or scientific imagery where subtle details are obscured by low contrast.
- •Restoring clarity to photos taken in challenging lighting conditions, such as deep shadows or hazy environments.
- •Preparing images for computer vision tasks by normalizing contrast across different regions of a frame.
How It Works
- •Upload your image file in any standard format like PNG, JPEG, or TIFF.
- •Adjust the Tile Size and Grid Size to define the local area for contrast calculation.
- •Fine-tune the Contrast Limit and Brightness Limit to balance enhancement strength against potential noise.
- •Select your preferred output format and quality settings, then download the processed image.
Use Cases
Examples
1. Restoring Shadow Detail in Photography
Photographer- 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.
- Example Config
-
tileSize: 64, contrastLimit: 3.0 - Outcome
- The foreground textures become visible and well-defined without washing out the bright sky.
2. Medical Imaging Clarity
Researcher- 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.
- Example Config
-
tileSize: 32, contrastLimit: 2.0 - Outcome
- Local structures are significantly clearer, allowing for more accurate observation of the scan data.
Try with Samples
image, png, jpgRelated Hubs
FAQ
What is CLAHE?
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.
How does the Tile Size affect my image?
Smaller tile sizes provide more localized contrast enhancement, which is great for fine details, while larger tiles provide a smoother, more global-like adjustment.
Will this tool increase image noise?
High contrast limit settings can amplify noise. If your image appears grainy after processing, try lowering the Contrast Limit value.
Which file formats are supported?
You can upload JPEG, PNG, WebP, GIF, BMP, and TIFF files. You can also choose to convert your output to a different format.
Is there a limit to the file size?
Yes, the tool supports individual image files up to 20MB.