Literature DB >> 20396077

Lightness scale from image intensity distributions.

W A Richards.   

Abstract

A lightness scale is derived from a theoretical estimate of the probability distribution of image intensities for natural scenes. The derived image intensity distribution considers three factors: reflectance; surface orientation and illumination; and surface texture (or roughness). The convolution of the effects of these three factors yields the theoretical probability distribution of image intensities. A useful lightness scale should be the integral of this probability density function, for then equal intervals along the scale are equally probable and carry equal information. The result is a scale similar to that used in photography or by the nervous system as its transfer function.

Year:  1982        PMID: 20396077     DOI: 10.1364/AO.21.002569

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  12 in total

1.  Local image statistics: maximum-entropy constructions and perceptual salience.

Authors:  Jonathan D Victor; Mary M Conte
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2012-07-01       Impact factor: 2.129

2.  Retina is structured to process an excess of darkness in natural scenes.

Authors:  Charles P Ratliff; Bart G Borghuis; Yen-Hong Kao; Peter Sterling; Vijay Balasubramanian
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-20       Impact factor: 11.205

3.  Local statistics in natural scenes predict the saliency of synthetic textures.

Authors:  Gasper Tkacik; Jason S Prentice; Jonathan D Victor; Vijay Balasubramanian
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-05       Impact factor: 11.205

4.  Phototransduction in primate cones and blowfly photoreceptors: different mechanisms, different algorithms, similar response.

Authors:  J H van Hateren; H P Snippe
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2005-10-25       Impact factor: 1.836

5.  How much the eye tells the brain.

Authors:  Kristin Koch; Judith McLean; Ronen Segev; Michael A Freed; Michael J Berry; Vijay Balasubramanian; Peter Sterling
Journal:  Curr Biol       Date:  2006-07-25       Impact factor: 10.834

6.  Design of a neuronal array.

Authors:  Bart G Borghuis; Charles P Ratliff; Robert G Smith; Peter Sterling; Vijay Balasubramanian
Journal:  J Neurosci       Date:  2008-03-19       Impact factor: 6.167

7.  Asymmetric ON-OFF processing of visual motion cancels variability induced by the structure of natural scenes.

Authors:  James E Fitzgerald; Damon A Clark; Juyue Chen; Holly B Mandel
Journal:  Elife       Date:  2019-10-15       Impact factor: 8.140

Review 8.  Receptive fields and functional architecture in the retina.

Authors:  Vijay Balasubramanian; Peter Sterling
Journal:  J Physiol       Date:  2009-06-15       Impact factor: 5.182

9.  Why do axons differ in caliber?

Authors:  János A Perge; Jeremy E Niven; Enrico Mugnaini; Vijay Balasubramanian; Peter Sterling
Journal:  J Neurosci       Date:  2012-01-11       Impact factor: 6.167

10.  Design of a trichromatic cone array.

Authors:  Patrick Garrigan; Charles P Ratliff; Jennifer M Klein; Peter Sterling; David H Brainard; Vijay Balasubramanian
Journal:  PLoS Comput Biol       Date:  2010-02-12       Impact factor: 4.475

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