PHOT 230 - Advanced Image Editing and Correction

(R only) (Also offered as GDES 230. Credit cannot be received for both PHOT 230 and GDES 230.)

An advanced study of digital editing and image correction as it applies to the needs of the graphics or photography student and professional. Students perform contrast and color correction on more difficult scanned images and digital photographs in an effort to gain aesthetic control of the image prior to final output. Topics also include visual and mechanical calibration of input and output devices. PREREQUISITE(S): GDES 214 or PHOT 214 or consent of department. Two hours lecture, four hours laboratory each week.

4 semester hours

Course Outcomes:
Upon completion of this course, a student will be able to:

Demonstrate knowledge of contrast range as applied to grayscale images.
Classify images based on histogram interpretation.
Apply image corrections to compensate for output limitations.
Identify neutral areas in color images.
Apply image corrections to achieve color balance in neutral areas.
Identify and categorize colors in context.
Apply image corrections to achieve color balance.
Demonstrate knowledge of and compensate for color space gamut inconsistencies.
Compare lab color with both RGB and CMYK color models.
Apply image corrections utilizing lab color.
Identify procedures used in advanced color correction.
Demonstrate color correction on the most challenging photographs.
Explain the need to isolate image areas for correction.
Demonstrate advanced masking techniques and appropriate correction.
Identify the need for image sharpening.
Analyze component image channels.
Apply sharpening techniques utilizing appropriate tools.
Analyze scanned image quality using quantitative methods.
Demonstrate calibration adjustments to compensate for input inaccuracy.
Evaluate digital camera image capture.
Evaluate desktop grayscale output using quantitative methods.
Demonstrate calibration adjustments to compensate for output inaccuracy.
Evaluate color output utilizing visual comparison methods.
Demonstrate knowledge of color image analysis using quantitative methods.
Demonstrate calibration adjustments to compensate for output inaccuracy.
Demonstrate knowledge of color management using color profiles and image tags.
Demonstrate workflow management from image input to output.
Demonstrate simple duotones using black and one other color.
Explain the use of duotones for extending tonal values.

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