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Efficient Representation of Natural Image Patches
April 15, 2024, 4:43 a.m. | Cheng Guo
cs.LG updates on arXiv.org arxiv.org
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
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