Information Content of Images

Extraction of information from images is often hamperedby the ineffective definitions of information content as wellas by the growing image storage capabilities and by themultifarious processing algorithms themselves. Sometimesit is suggested that some duality/reciprocity principle ofphysics may help encapsulate useful imaging parameters.In our opinion for imaging purposes geometry is a betterbackground than optimization. We compare the customaryduality concepts with the corresponding geometric notion,and identify nonlinear features with the “useful parameters”