Image Diffusion Tool
Create a cinematic "Pro-Mist" style glow by diffusing highlights.
Click to upload image
JPG, PNG, WebP supported
Image preview will appear here
How to use
- Upload an image from your device.
- Adjust the Highlight Threshold to select which bright areas should glow.
- Adjust the Diffusion Radius to control how far the light spreads.
- Adjust the Glow Intensity to control the strength of the effect.
- Click "Download Image" to save your cinematic photo.
About Image Diffusion
Image Diffusion is a tool for applying "Error Diffusion Dithering" to images. This technique converts a colorful or grayscale image into a purely black-and-white (1-bit) image by distributing the quantization error to neighboring pixels. This results in a distinctive, retro textured look often seen in old newspaper prints or early computer graphics.
How to Use?
- Upload your image.
- Choose a diffusion algorithm if multiple are available (e.g., Floyd-Steinberg, Atkinson).
- The tool converts the image to black and white dots.
- Download the dithered image.
Features
- Retro Aesthetic: Recreate the look of vintage digital displays and prints.
- High Contrast: Converts images to strict black and white.
- Detail Retention: Dithering preserves the perception of shading despite using only two colors.
- Client-Side: Fast and private processing.
FAQ
What is Dithering?
Dithering is a technique used in computer graphics to create the illusion of color depth in images with a limited color palette. By placing dots of different colors (or black and white) close together, the human eye blends them to perceive shades.
What is Floyd-Steinberg diffusion?
It is one of the most famous error diffusion algorithms. It pushes the "error" (difference between the desired color and the nearest available color) to four neighboring pixels, resulting in a fine-grained, high-quality dither pattern.
Why would I use this?
It's great for artistic effects, preparing images for e-ink displays, thermal printers, or any medium that only supports 1-bit color (black and white).