Dan Margulis

When Is There No PPW Advantage? (The MIT 5k dataset 7)

by Dan Margulis March 27, 2018

The arsenal of weapons that we can deploy against recalcitrant images is powerful and impressive. When used prudently, that is. Assuming that because you have them you are guaranteed to create stunning imagery tempts you to try too hard to make it so. When this happens, as we’re about to see, the weapons, including PPW, […]

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How Often is PPW Superior? (The MIT 5k dataset 6)

by Dan Margulis February 12, 2018

Almost any method of correcting images works some of the time. For those interested in PPW, or in taking a four-day class on how it works, the question has to be how much of the time. The MIT study we’ve been looking at offers a unique opportunity to answer that question. It shows the real-world […]

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2018 Applied Color Theory Class Dates Announced

by Dan Margulis January 18, 2018

For those wishing to take color skills to the ultimate level, here are the two dates for Applied Color Theory classes in 2018. • ATLANTA, Wednesday, May 16, through Saturday, May 19. • SAN DIEGO, Wednesday, August 22, through Saturday, August 25. These classes—four long days, limited to eight persons—have changed the lives of many […]

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White Point, Dark Point, Auto Tone: The Simplest Move of All (The MIT 5k Dataset 5)

by Dan Margulis December 10, 2017

“And yet,” I wrote in my first book 25 years ago, “most color correction could be handled by monkeys…a numerical, curve-based approach calling for little artistic judgment…all the advanced techniques are inevitably based on these surpassingly simple ones. The by-the-numbers rules can be stated in a single sentence: Use the full range of available tones […]

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The MIT 5k Dataset 4: More on Averaging

by Dan Margulis November 28, 2017

The previous entry described giving each of five independently corrected versions 20% weight to create a new, “par” version. This can be called a “stupid” blend, in that no notice is taken of the merits of any of the five. Nevertheless, it appears that this average is better than all five of its parents in […]

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The MIT 5k Dataset 3: Effective Averaging Close-Up

by Dan Margulis November 18, 2017

Those interested in quality have always been willing to spend time to get what they considered the best possible results. For some years now I have been suggesting that this is not the best approach in our field. Instead, I have been preaching that it is a better use of time to do the initial […]

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The MIT 5k Dataset 2: The Ground Rules

by Dan Margulis November 13, 2017

The following details the procedures used in evaluating the images in this study. It is posted separately so that I do not have to repeat it every time I discuss results in the future. I went through the set of 5,000 original images and deleted those I thought were of limited interest. I used the […]

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The MIT 5k Dataset 1: Introduction

by Dan Margulis November 11, 2017

This is the introduction to a series of posts I will make based on my work with files that are part of a remarkable archive. Researchers at MIT and Adobe have recently made available the data from a massive project they have undertaken to study what people look for when they correct color. The researchers’ […]

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Applied Color Theory classes in 2017

by Dan Margulis January 4, 2017

For those wishing to take color skills to the ultimate level, here are the two dates for Applied Color Theory classes in 2017. • ATLANTA, Wednesday, March 22 through Saturday, March 25, 2017. • SAN DIEGO, Wednesday, August 9, through Saturday, August 12, 2017. These classes—four long days, limited to eight persons—have changed the lives […]

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The Presentation of Data: When Red and Blue Are Opponent Colors

by Dan Margulis June 3, 2016

The U.S. presidential campaign offers an interesting insight on opponent colors, and on how best to present data. The conventional way of doing it leaves much to be desired. Residents of other countries have difficulty understanding the American system, where in effect the election is always decided by voters in a small minority of states. […]

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