Perlin's Noise Algorithm

Perlin's Noise Algorithm is a fundamental technique in procedural generation that generates pseudo-random values based on input parameters, with applications across computer graphics and texture generation. Coherent noise, a smoother version of purely random noise, creates distinguishable patterns and features while maintaining randomness, making it more useful for generating natural-looking textures and procedural content. The algorithm works by iterating through image pixels and using normalized coordinates as inputs to a noise function, which assigns values to create textured outputs.