TEE 447 - Digital Image Proccess

Institution:

University of Rochester

Subject:

Description:

Visual perception, image sensing and acquisition, image sampling and quantization, basic relationships between pixels. Basic intensity transformation functions, histogram processing, fundamental of spatial filtering, smoothing filters, sharpening filters, fuzzy techniques for intensity transformations and spatial filtering. Sampling and the Fourier transform, discrete Fourier transform of one and two variables, image smoothing using frequency domain filters, Image Sharpening using Fourier domain filters. Restoration in the presence of noise, periodic noise reduction by frequency domain filtering, estimating degradation function, inverse filtering, constrained least squares filtering, image reconstruction from projections. Multi-resolution expansions, wavelet transforms. erosion and dilatGray-scale morphology. Thresholding, region based segmentation, morphology watersheds.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.rochester.edu

Phone Number:

(888) 822-2256

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

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