Mapping source brightness to tile size rasterizes an image into a halftone-like grid where dark areas make smaller tiles

A rasterization effect replaces a continuous image with a grid of tiles whose sizes vary with local brightness. Choose a tile count (e.g. 100×150), compute tileW = pgWidth/tilesX and tileH = pgHeight/tilesY, and step the nested loop by whole tiles. At each tile sample the source (or blended) color, take brightness(color) in [0,255], then map that to a tile dimension: float size = map(bright, 0, 255, 0, tileW). Draw a rect of that size at the tile position. Dark areas yield small or vanishing tiles, bright areas yield large tiles that fill their cell, giving a halftone/printed-surface look. Raising tilesX/tilesY makes a finer grid.

Examples

float bright = brightness(c3); float size = map(bright, 0, 255, 0, tileW); buffer.rect(x, y, size, size); // 200×300 tiles reads as a printed raster

Assessment

In the brightness-to-size mapping, does black or white produce the largest tile, and how would you invert the effect so dark areas produce the largest tiles?