MaxEnt Module

What is Maximum Entropy?

Maximum Entropy Deconvolution ("MaxEnt") is a sophisticated image reconstruction method used to increase spatial resolution in an image. Maximum Entropy uses information stored in the Signal-to-Noise Ratio (S/N) to perform an optimal Deconvolution, thus increasing spatial resolution. MaxEnt is superior to spatial sharpening methods such as crispening filters or unsharp masking because it does not sharpen the noise.

What Can MaxEnt Do for Images?

Maximum Entropy Deconvolution can sharpen visible features and reveal details that are otherwise difficult to detect no matter how you tweak  the image display. MaxEnt can also be used to recover information from less than optimal, slightly out-of-focus images.

Mira's easy to use, superior implementation of Maximum Entropy surpasses other implementations by providing superior enhancement while minimizing the addition of artifacts such as "black eyes" around point sources and ripples along well defined edges.