Perceptual image quality assessment: a survey
Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …
to the existence of quality degradations introduced in various stages of visual signal …
A new framework for understanding vision from the perspective of the primary visual cortex
L Zhaoping - Current opinion in neurobiology, 2019 - Elsevier
Highlights•A new framework for vision: encoding, selection, and decoding.•A saliency map
in V1 for primates guides attentional selection exogenously.•Massive loss of input …
in V1 for primates guides attentional selection exogenously.•Massive loss of input …
[图书][B] Theoretical neuroscience: computational and mathematical modeling of neural systems
P Dayan, LF Abbott - 2005 - books.google.com
Theoretical neuroscience provides a quantitative basis for describing what nervous systems
do, determining how they function, and uncovering the general principles by which they …
do, determining how they function, and uncovering the general principles by which they …
Statistics of natural images: Scaling in the woods
D Ruderman, W Bialek - Advances in neural information …, 1993 - proceedings.neurips.cc
In order to best understand a visual system one should attempt to characterize the natural
images it processes. We gather images from the woods and find that these scenes possess …
images it processes. We gather images from the woods and find that these scenes possess …
[图书][B] Natural image statistics: A probabilistic approach to early computational vision.
A Hyvärinen, J Hurri, PO Hoyer - 2009 - books.google.com
Aims and Scope This book is both an introductory textbook and a research monograph on
modeling the statistical structure of natural images. In very simple terms,“natural images” are …
modeling the statistical structure of natural images. In very simple terms,“natural images” are …
Independent component analysis applied to feature extraction from colour and stereo images
PO Hoyer, A Hyvärinen - Network: computation in neural systems, 2000 - Taylor & Francis
Previous work has shown that independent component analysis (ICA) applied to feature
extraction from natural image data yields features resembling Gabor functions and simple …
extraction from natural image data yields features resembling Gabor functions and simple …
Nonlinear neurons in the low-noise limit: a factorial code maximizes information transfer
JP Nadal, N Parga - Network: Computation in neural systems, 1994 - Taylor & Francis
We investigate the consequences of maximizing information transfer in a simple neural
network (one input layer, one output layer), focusing on the case of nonlinear transfer …
network (one input layer, one output layer), focusing on the case of nonlinear transfer …
Temporal decorrelation: a theory of lagged and nonlagged responses in the lateral geniculate nucleus
Natural time-varying images possess significant temporal correlations when sampled frame
by frame by the photoreceptors. These correlations persist even after retinal processing and …
by frame by the photoreceptors. These correlations persist even after retinal processing and …
Blind stereoscopic video quality assessment: From depth perception to overall experience
Stereoscopic video quality assessment (SVQA) is a challenging problem. It has not been
well investigated on how to measure depth perception quality independently under different …
well investigated on how to measure depth perception quality independently under different …
A model of binocular rivalry and cross-orientation suppression
CP Said, DJ Heeger - PLoS computational biology, 2013 - journals.plos.org
Binocular rivalry and cross-orientation suppression are well-studied forms of competition in
visual cortex, but models of these two types of competition are in tension with one another …
visual cortex, but models of these two types of competition are in tension with one another …