Staaarter

PNG to YIQ Colors Converter

Uploads a PNG, tallies every distinct RGBA color it contains, converts each to the NTSC YIQ color space (luma Y plus in-phase I and quadrature Q chrominance components), and produces a plain-text report sorted by how frequently each color appears, entirely client-side. A free online tool from Staaarter, right in your browser.

Runs locallyUpdated 2026-07-29
By Staaarter Team
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Overview

Introduction

This tool scans every pixel of an uploaded PNG and reports its colors converted to NTSC YIQ, the luma/chrominance color space classic analog color television broadcasts used.

It's a useful way to see how an image's colors break down into brightness versus color-direction information the way a 1950s-era TV signal would have encoded them.

What Is PNG to YIQ Colors Converter?

A client-side color analysis tool that decodes a PNG, tallies its distinct RGBA colors, and converts each one to YIQ using the standard NTSC linear transform.

The output is a readable plain-text report rather than raw pixel data, capped at the 256 most frequent colors for readability.

How PNG to YIQ Colors Converter Works

Every pixel's exact RGBA value is counted in a frequency map; the resulting unique colors are sorted from most to least common.

Each color's Y (luma) is computed as a weighted sum of R, G, and B matching standard perceptual luminance, while I and Q are computed from separate fixed linear combinations of R, G, and B representing in-phase and quadrature chrominance.

When To Use PNG to YIQ Colors Converter

Use it to explore how an image's brightness and color information separate under a historical broadcast color model.

It's also useful for educational purposes when explaining how analog color TV encoded color on top of a black-and-white signal.

Features

Advantages

  • Runs entirely client-side; your image is never uploaded to a server.
  • Groups identical colors together with counts, rather than dumping every pixel individually.
  • Uses the standard, well-documented NTSC YIQ linear transform constants.

Limitations

  • This is a mathematical color-space transform for reference and educational purposes, not a simulation of actual analog broadcast signal artifacts or bandwidth limiting.
  • The report caps out at the 256 most frequent unique colors; images with huge color diversity (like photos) will have many rarer colors omitted.

Examples

Analyze a grayscale gradient

Input

A PNG with a black-to-white gradient

Output

Rows with varying Y values and I/Q both near 0

Neutral grays have no color direction, so their chrominance components sit near zero regardless of brightness.

Analyze a saturated red

Input

A pixel at pure red (255, 0, 0)

Output

A row with a moderate Y and a strongly positive I value

Pure red has a large in-phase chrominance component under the YIQ transform.

Best Practices & Notes

Best Practices

  • Use this to understand the relationship between brightness and color direction in an image, not as a literal broadcast-accurate simulation.
  • Compare against the YCbCr converter to see how different broadcast-era color spaces treat the same source colors differently.

Developer Notes

The YIQ math is a pure, individually-exported function (rgbToYiq) implementing the standard NTSC linear transform (Y = 0.299R + 0.587G + 0.114B, I = 0.596R - 0.274G - 0.322B, Q = 0.211R - 0.523G + 0.312B), directly unit-testable against known reference colors.

PNG to YIQ Colors Converter Use Cases

  • Educational exploration of how analog color television encoded color
  • Comparing luma/chrominance breakdowns across different broadcast-era color spaces
  • Spot-checking how a specific color's brightness and chrominance separate under YIQ

Common Mistakes

  • Confusing YIQ with YUV or YCbCr: they're related but use different derivation constants and aren't numerically interchangeable.
  • Expecting I and Q to stay within 0-255 the way Y does; they're signed values that can go negative.

Tips

  • Focus on the Y column first if you mainly care about relative brightness across colors.
  • Try this on the same image as the YCbCr converter to compare the two broadcast-era color spaces side by side.

References

Frequently Asked Questions