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This course introduces students to fundamental concepts in multimedia forensics and security. Topics covered include an introduction to digital image processing and compression, information hiding, watermarking, image and video forgery detection, and source identification.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECE 361 [Min Grade: D]

This course explores digital signal processing (DSP) concepts through the context of current applications, which range from video encoding to human genome analysis. Topics such as sampling, aliasing, and quantization, are considered in terms of the constraints of particular applications. Discrete-time linear systems, frequency-domain analysis, and digital filtering using Discrete Fourier Transform are examined in-depth and realized through application-specific lab projects.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECES 303 [Min Grade: D]