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Cited by 210

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Synthesizing a color algorithm from examples

Hurlbert, AC, Poggio, TA·1988·Science

Abstract

A lightness algorithm that separates surface reflectance from illumination in a Mondrian world is synthesized automatically from a set of examples, which consist of pairs of input (intensity signal) and desired output (surface reflectance) images. The algorithm, which resembles a new lightness algorithm recently proposed by Land, is approximately equivalent to filtering the image through a center-surround receptive field in individual chromatic channels. The synthesizing technique, optimal linear estimation, requires only one assumption, that the operator that transforms input into output is linear. This assumption is true for a certain class of early vision algorithms that may therefore be synthesized in a similar way from examples. Other methods of synthesizing algorithms from examples, or "learning," such as back-propagation, do not yield a significantly better lightness algorithm.

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Metadata

Authors
Hurlbert, A., & Poggio, T.
Venue
Science
Published
1988-01-29
Volume
239
Issue
4839
Pages
482-485
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2078545638
Cited by
210
References
1
FWCI
4.49
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Synthesizing a color algorithm from examples. https://app.cochat.ai/papers/10.1126/science.239.4839.482
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Hurlbert, A., & Poggio, T. (1988). Synthesizing a color algorithm from examples. Science. https://doi.org/10.1126/science.239.4839.482

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