Chapter One Objectives Understand appealing printed photographic images share common characteristics List these four characteristics in their proper order Recognize roadblocks preventing shared acceptance of these characteristics

It’s Hip to be Square Pixel Current equivalent of the mosaic tile Digital photographic images and traditional mosaics Tiny geometric shapes of flat color are organized to fool the eye

How do we best produce and manipulate pixels to create striking color images?

Human perception The color specialist Digital color specialists work in an inexact space Dozens of digital workflows Simple to complex Array of color devices is constantly expanding Screen, paper, wall, etc.? Monitor, projector, LCD, LED, OLED, etc?

The “job” of the digital color specialist Deliver optimized images to color devices How can we make a picture look as good or accurate as possible on every different device?

Roadblocks to the Optimized Image Slang terminology Muddy Pizzazz Pop

Roadblocks to the Optimized Image Color misconceptions Color is too subjective Everyone sees color differently Perfect color is now automated and assured

Why? In what ways? The Optimal Image Characteristics that are definable and measurable Informed color specialists are more effective and efficient, thus productive Which picture is more “appealing”? Why? In what ways?

Activity Install Google Photos Find invitation email for joining shared album “CLD9005” Edit/Adjust the “hut” image for “optimal” colour; save and upload a copy. Compare your version with your classmates’ Ask: what’s the difference?

The Four Characteristics Proper contrast Proper (colour) balance Proper sharpness and detail Believable colors

Art of digital color correction Based on ability to adjust color images according to these characteristics

Rivard’s Pyramid Models digital color corrective options from most reliable to most risky All color correction should proceed from the generalized, overall moves first to the specific, localized moves last. This basic priority assures a higher success rate and higher profitability as well.

The Farnsworth-Munsell 100 Hue Test Industry standard for hue discrimination Evaluating contrast, balance, sharpness and believable colors Starts with the human visual system Everyone should have their hue discrimination evaluated, both to prove capability for this line of work and to qualify any color regions where differentiation between like colors might be problematic.