Image edge enhancement

image edge enhancement increases the apparent sharpness or contrast of an image edge. Unsharp masking gives bounded linear high-frequency amplification; backward normal diffusion in the Perona-Malik equation gives formal nonlinear sharpening with ill-posedness risks. Positive diffusion tensors chiefly preserve or connect structure rather than perform unbounded backward diffusion.

The formal shock-filter equation $u_t=-\mathrm{sign}(\Delta u)|\nabla u|$ steepens transitions around inflection boundaries. It is a Hamilton–Jacobi-type transport mechanism rather than positive diffusion. Combining it with controlled forward image smoothing limits noise amplification.

Subtract a smoothed image signal and add a scaled residual: $u=g+\lambda (g-G_t\ast g)$. The Fourier multiplier $1+\lambda (1-e^{-t|\xi {|}^2})$ is bounded by $1+\lambda$. This enhances apparent contrast but also amplifies noise; it is not a stable exact inverse of heat image smoothing.