Mathematics 239 - Digital Image Processing

An introduction to the mathematical aspects behind digital image processing. Students will learn how digital images can be represented using matrices and how matrix manipulations lead to image enhancements. Topics include converting images to black and white, adjusting image brightness via gamma correction, blurring images using smoothing masks, and sharpening images using derivative filters. Image restoration techniques such as the removal of noise or motion blur will be discussed. Students will apply theoretical knowledge to images using MATLAB. The methods in this course can be applied to several career fields including medical imaging, computer vision, forensics, security, and defense.

Prereq: MATH-102.