Online Image Histogram
Reading Image Histograms
An image histogram is a graphical representation of the tonal distribution in an image. It shows the number of pixels at each brightness level, from pure black (left) to pure white (right). Understanding histograms is essential for proper exposure and color correction.
A well-exposed image typically has a histogram spread across the full range, with no clipping at either end. A histogram bunched to the left indicates underexposure (too dark), while one bunched to the right indicates overexposure (too bright). Our RGB histogram shows separate data for each color channel.
- A bell-shaped histogram indicates a well-exposed image
- Clipping at either end means lost detail in shadows or highlights
- RGB histogram helps identify color casts — use it for white balance correction
- Learn to read histograms for professional-level exposure assessment
- RGB channel analysis
- Exposure evaluation
- Color distribution
- Interactive display
How to Use
- Upload your image
- View RGB channel histograms
- Analyze exposure and color
FAQ
What is an image histogram?
Shows tonal distribution — shadows, midtones, and highlights.
How do I read the histogram?
Left=shadows, middle=midtones, right=highlights. Peaks show tone concentration.
Why check the histogram?
Helps detect overexposure, underexposure, and color balance issues.
Does this support RGB histograms?
Yes, view luminance and individual RGB channel histograms.