# Image Color Burn Blend

Apply color burn blend mode between two images for dramatic darkening and intense color effects

> Canonical page: https://elysiatools.com/en/tools/image-color-burn

- **Category:** Design

- **Keywords:** image, color burn, blend, darken, dramatic, intense, composite, contrast

## Overview

The Image Color Burn tool allows you to blend two images using the color burn mode, which increases the contrast between the base and overlay layers to create dramatic, high-intensity darkening effects.

## Inputs

- **Base Image** (file): Base image that will be color burned with the overlay
- **Overlay Image** (file): Overlay image for color burn blending
- **Overlay Opacity** (range): Opacity of the overlay image (0.0 to 1.0)
- **Output Format** (select): Output format for the result image (PNG recommended for transparency)
- **Quality (1-100)** (number): Output quality for lossy formats

## When to use

- When you want to add deep, moody shadows to a photograph using a texture or pattern overlay.
- When you need to increase the saturation and contrast of an image by blending it with a solid color or gradient.
- When creating artistic composites that require a high-contrast, film-like aesthetic.

## How it works

- Upload your base image and the overlay image you wish to blend.
- Adjust the overlay opacity slider to control the intensity of the burn effect.
- Select your preferred output format and quality settings.
- Process the images to generate your high-contrast composite file.

## Use cases

- Creating moody, cinematic photography by blending dark textures over bright base images.
- Enhancing digital illustrations by adding depth and intense color saturation.
- Stylizing graphic design assets to achieve a gritty, high-contrast look.

## Frequently asked questions

### What does the color burn mode do?

Color burn darkens the base image by increasing the contrast, resulting in more saturated mid-tones and darker shadows.

### Can I adjust the strength of the effect?

Yes, you can use the Overlay Opacity slider to adjust how much of the overlay image influences the base image.

### What file formats are supported?

The tool supports JPEG, PNG, WebP, GIF, BMP, and TIFF formats for both input and output.

### Is there a file size limit?

Yes, each uploaded image must be under 10MB.

### Which output format should I choose?

PNG is recommended if you need to preserve transparency, while JPEG or WebP are ideal for smaller file sizes.

## Related tools

- [Image Blending Effect](https://elysiatools.com/en/tools/image-add-blending): Blend multiple images together using various blend modes for creative compositions and effects
- [Image Box Blur](https://elysiatools.com/en/tools/image-box-blur): Apply box blur kernel for simple uniform averaging and fast noise reduction
- [CLAHE Histogram Equalization](https://elysiatools.com/en/tools/image-clahe): Apply Contrast Limited Adaptive Histogram Equalization for local contrast enhancement
- [Image Color Dodge Blend](https://elysiatools.com/en/tools/image-color-dodge): Apply color dodge blend mode between two images for bright, ethereal and glowing effects
- [Image Composite](https://elysiatools.com/en/tools/image-composite): Composite multiple images together with precise control over position, opacity, and blend modes
- [Image Convolution Kernel](https://elysiatools.com/en/tools/image-convolve): Apply standard convolution kernels (blur, sharpen, edge detection, emboss) for image processing and effects
- [Image Custom Convolution Kernel](https://elysiatools.com/en/tools/image-custom-kernel): Apply custom convolution kernel by defining your own matrix values for personalized image effects and processing
- [Image Gaussian Blur](https://elysiatools.com/en/tools/image-gaussian): Apply Gaussian blur kernel for smooth noise reduction and image softening with precise control

## Samples

- [Web Image Processing Python Samples](https://elysiatools.com/en/samples/web-image-processing-python): Web Python image processing examples using PIL/Pillow including reading, saving, resizing, and format conversion
- [Web Image Processing TypeScript Samples](https://elysiatools.com/en/samples/web-image-processing-typescript): Web TypeScript image processing examples including image read/save, scaling, and format conversion
- [Android Image Processing Java Samples](https://elysiatools.com/en/samples/android-image-processing-java): Android Java image processing examples including reading/saving images, scaling, and format conversion
- [Android Image Processing Kotlin Samples](https://elysiatools.com/en/samples/android-image-processing-kotlin): Android Kotlin image processing examples including reading/saving images, scaling, and format conversion

## Related content

- [Image Blend Modes and Compositing Tools](https://elysiatools.com/en/hubs/image-blend-modes-and-compositing-tools): Choose a blend or compositing mode, align source layers, compare looks, and verify halo, color, and alpha behavior at delivery size.
