Variations of images to increase their visibility
This work addresses image visibility enhancement for image processing applications, but it appears incremental as it builds on existing variational methods and tools.
The paper tackled the problem of enhancing image visibility by applying the calculus of variations to image processing, proposing an experimental approach using Gimp to visualize variations and a functional for visibility analogous to optical interference fringe visibility.
The calculus of variations applied to the image processing requires some numerical models able to perform the variations of images and the extremization of appropriate actions. To produce the variations of images, there are several possibilities based on the brightness maps. Before a numerical model, I propose an experimental approach, based on a tool of Gimp, GNU Image Manipulation Program, in order to visualize how the image variations can be. After the discussion of this tool, which is able to strongly increase the visibility of images, the variations and a possible functional for the visibility are proposed in the framework of a numerical model. The visibility functional is analogous to the fringe visibility of the optical interference.