This course introduces the fundamental concepts and techniques of digital image processing, concentrating on aspects of image processing in which both the inputs and outputs are images. Topics include image sampling and quantization, intensity transformation, spatial filtering, frequency domain filtering, image restoration and image reconstruction. The laboratory component focuses on the digital hardware implementation of image acquisition and image manipulation. Weekly hours: 3 Lecture hours and 1.5 Practicum/Lab hoursPrerequisite(s): EE 367.3.
This course introduces the fundamental concepts and techniques of digital image processing, concentrating on aspects of image processing in which both the inputs and outputs are images. Topics include image sampling and quantization, intensity transformation, spatial filtering, frequency domain filtering, image restoration and image reconstruction. The laboratory component focuses on the digital hardware implementation of image acquisition and image manipulation. Weekly hours: 3 Lecture hours and 1.5 Practicum/Lab hoursPrerequisite(s): EE 367.3.
