Question 1

What is the difference between MMCQ and CIELAB k-Means quantization?

Accepted Answer

Modified Median Cut Quantization (MMCQ) dynamically subdivides 3D color boxes along the axis of greatest RGB variance weighted by pixel population, making it fast and excellent for capturing vibrant accent colors. CIELAB k-Means iteratively clusters pixels in the perceptually uniform L*a*b* space, producing statistically weighted centroids that accurately mirror human color perception.

Question 2

How does the Delta-E (ΔE) perceptual filter enhance palette diversity?

Accepted Answer

In photographic scenes with large gradients, standard clustering often outputs multiple slightly different variations of the same hue. The Delta-E filter measures perceptual distance using CIE76 color difference formulas and suppresses candidate swatches with ΔE below the threshold, guaranteeing each output swatch represents a distinct spectral tone.

Question 3

How does the interactive Region of Interest (ROI) bounding box work?

Accepted Answer

The ROI selector lets you click and drag a rectangular bounding box across any portion of the uploaded image. The quantization algorithms then resample only the pixels enclosed within the ROI, enabling you to extract colors specifically from a product label, logo, or subject without background interference.

Question 4

What accessibility metrics are evaluated in the WCAG 2.1 Contrast Matrix?

Accepted Answer

Each extracted swatch is calculated for relative luminance according to W3C guidelines and tested against White (#FFFFFF), Black (#000000), and the palette dominant background. The matrix displays exact contrast ratios and awards [AAA Pass] (>= 7:1), [AA Pass] (>= 4.5:1), [AA Large] (>= 3:1), or [Fail] compliance badges.

Question 5

Are my uploaded design assets or photographs stored on a server?

Accepted Answer

No. All canvas rendering, pixel buffer reading, color space transformations (sRGB to XYZ to CIELAB), clustering iterations, and token generation execute 100% locally in your browser memory.

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