Dynamic range optimization by local contrast correction and histogram image analysis
The original dynamic range of a scene is generally constrained into the smaller dynamic range of the acquisition system. This results in the difficulty to design a global tone correction that permits to discriminate both shadow and highlight details. In this work we present a local contrast correction algorithm that allows for simultaneous shadow and highlight adjustments, starting from a simple pixel-wise "gamma" correction, piloted by image statistics analysis