The Entropy module is a novel module that enhances detail in your image, using latent detail cues in the color information of your dataset.
The Entropy module exploits the same basic premise as the Filter module; that is, the observation that many interesting features and objects in outer space have distinct colors, owing to their chemical make up and associated emission lines. This correlation become 100% when considering a narrowband composite, where each channel truly is made up of data from distinct parts of the spectrum.
The Entropy module works by evaluating entropy (a measure of "busyness" or "randomness") as a proxy for detail. It does so on a local level in each colour channel for each pixel. Once this measure has been established for each pixel, the individual channel's contribution to luminance for each pixel is re-weighted in CIELab space to better reflect the contribution of visible detail in that channel.
The result is that the luminance contribution of a channel with less detail in a particular area is attenuated. Conversely, the luminance contribution of a channel with more detail in a particular area is boosted. Overall, this has the effect of accentuating latent structures and detail in a very natural manner. Operating entirely in CIELab space means that, psychovisually, there is no change in colour, only brightness.
The above attributes make the Entropy module an an extremely powerful tool for narrowband composites in particular.
The Entropy module is effective both on already processed images, as well as Tracked datasets.
