Talk:Opponent process/Archive 1

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Archive 1

Long ago

I just re-discovered the opponent color page which I created long ago, based on the work of Koenderink and Jan-Mark Geusebroek on the "spatial color model" (opponent color model + Gaussian scale space).

The reason for creating the article it was the use of the "spatial color model" in the analysis of light microscopy images (http://ourworld.compuserve.com/homepages/pvosta/proc_rms.pdf). This is all in the past now.

Merge

I've redirected Opponent processes to here. The following is the only paragraph that originated at that location, but I'm not sure what, if any, of it fits in this article. Pasting below just-in-case (and striking out the obviously irrelevant parts). --Quiddity 20:59, 25 August 2006 (UTC)

Opponent processes are observable in neuro impulses (Garbor wavelets), similar to qualia in philosophy. These include color illusions of seeing an opposite color after habituation, physiological homeostasis reactions for temperature, oxygen, food, and stimuluation control. Drug addiction is best understood as being due to the modulation of a homeostatis into a positive and negative phase. Any stimulus, drug, or behavior will lose its strength due to learned habituation, but the opponent reaction to the original drug remains strong. In terms of drugs this means that eventually, people who started to take heroin to experience pleasure will be taking it to feel neutral.

I can see why you deleted the bit about drug addiction... it doesn't fit with the opponent process theory of color perception, but there is an opponent process theory of addiction. I'm considering starting a new article to cover that topic. As such, I wonder if the name of this article should be made more specific to better reflect its actual content? Jesserjames (talk) 17:30, 13 March 2012 (UTC)

Reference

Comparison to YUV?

Stable Reddish-green

Antagonistic colour responses - more citations needed

Image

"Other uses" section

S cones contributing to R-G opponency

Colour opponency (properly explained)

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