ENEE631

Digital Image and Video Processing

Prerequisite: ENEE620 and ENEE630; or students who have taken courses with comparable content may contact the department. Foundations of digital image and video processing. Topics covered: 2-D systems and transforms; image acquisition and perception; multi-dimensional sampling; quantization; linear and non-linear techniques for image enhancement and restoration; basics on image analysis; lossless and lossy image compression; motion estimation and compensation; still image and video coding standards; applications of image and video processing.

Past Semesters

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.31 between 95 students*

ENEE631 Grade Distribution+-051015202530354045505560% of studentsABCDFWother
A-: 24.21%
A: 28.42%
A+: 5.26%
B-: 3.16%
B: 8.42%
B+: 10.53%
C: 4.21%
D: 2.11%
F: 1.05%
W: 4.21%
other: 8.42%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.