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Scene

Contrast Enhancement

Cell Size

Quality

How It Works

6D Shape Vectors

Each ASCII character is represented as a 6D vector capturing how it fills its cell. Six sampling circles in a staggered 2×3 grid measure density at different positions.

Nearest Neighbor Matching

For each cell in the image, we sample a 6D vector and find the character whose pre-computed shape vector is closest in Euclidean distance.

Global Contrast

Normalizes the sampling vector to [0,1], applies an exponent to crunch darker values, then denormalizes. Exaggerates shape differences for better character picks.

Directional Contrast

External sampling circles detect edges by reaching into neighboring cells. When a neighbor is lighter, it pushes the internal value down, sharpening boundaries.