Efficient Representation of Natural Image Patches

arXiv:2210.13004v3 Announce Type: replace-cross
Abstract: Utilizing an abstract information processing model based on minimal yet realistic assumptions inspired by biological systems, we study how to achieve the early visual system's two ultimate objectives: efficient information transmission and accurate sensor probability distribution modeling. We prove that optimizing for information transmission does not guarantee optimal probability distribution modeling in general. We illustrate, using a two-pixel (2D) system and image patches, that an efficient representation can be realized through a nonlinear population code …

abstract arxiv assumptions cs.cv cs.lg distribution eess.iv image information modeling natural probability processing prove q-bio.nc representation sensor study systems type visual