2. 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

3. 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

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

5. 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?

6. 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?

7. Roadblocks to the Optimized Image
Slang terminology
Muddy
Pizzazz
Pop

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

9. 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?

10. Activity Install Google Photos
Find invitation 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?

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

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

13. 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.

14. 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.