Image Histogram Generator
Analyze tonal distribution across 256 red, green, blue, alpha, and luminance bins, identify clipping, and export the chart or raw data.
Upload an image to plot red, green, blue, and luminance values across 256 bins.
RGB and luminance views
Overlay all three color channels or isolate red, green, blue, or perceived luminance.
Linear and logarithmic scale
Use linear scale for dominant tones or logarithmic scale to reveal low-frequency values.
Clipping and data export
Measure extreme shadows and highlights, download the chart, or export every histogram bin as CSV.
它是如何運作的
- 1
上傳圖片
Choose the photo, screenshot, artwork, or scan whose tones need inspection.
- 2
Choose channel and scale
Switch among RGB, individual channels, luminance, linear, and logarithmic views.
- 3
Review or export
Read clipping metrics and save either the chart PNG or 256-bin CSV.
Using image histograms
A histogram counts how many pixels have each intensity value. Data packed near 0 indicates dark tones, while values near 255 indicate bright tones. Peaks at the extreme edges may indicate clipped detail, but dark backgrounds and white graphics can also create legitimate edge peaks.
常見問題
What is luminance in the histogram?
It is perceived brightness calculated from weighted red, green, and blue values.
Why use logarithmic scale?
It makes small histogram counts visible when a few bins contain most pixels.
我的圖片上傳了嗎？
不會。您的映像會保留在您的瀏覽器中。
Image Histogram Generator last reviewed: Sep 1, 2026.