MA 439 - Mathematical Methods of Image Processing
- Credit Hours: 4R-0L-4C
- Term Available: F
- Graduate Studies Eligible: No
- Prerequisites: MA 212
- Corequisites: None
Mathematical formulation and development of methods used in image processing, especially compression. Vector space models of signals and images, one- and two-dimensional discrete Fourier transforms, the discrete cosine transform, and block transforms. Frequency domain, basis waveforms, and frequency domain representation of signals and images. Convolution and filtering. Filter banks, wavelets and the discrete wavelet transform. Application to Fourier based and wavelet based compression such as the JPEG compression standard. Compression concepts such as scalar quantization and measures of performance.