 Variational image processing

A variational model balances agreement with observed data against a regularity or geometric penalty. Examples include total variation denoising, the relaxed graph-area functional, and the Mumford–Shah functional. Convex penalties support unique reconstruction, while segmentation energies can have multiple competing partitions.