C S 450

Introduction to Digital Signal and Image Processing

Understand and apply the following: Sampling and quantization of image information Camera properties and the acquisition of images Mathematics of image-space transformations Fourier transforms and filtering

Digital Foundations

Digitize physical signals by implementing sampling and quantization strategies to create accurate digital representations. Mastering this translation from the physical to the digital is intellectually enlarging, as it challenges students to bridge the gap between continuous reality and discrete data.

Image Acquisition

Model the acquisition process by characterizing camera properties and sensor behaviors. Developing this technical depth is character building, fostering the meticulous attention to detail and professional integrity required for reliable data collection.

Spatial Transformations

Execute image-space transformations to manipulate and reproject visual perspectives through rigorous mathematical logic. Students will find this practice spiritually strengthening as they witness the elegant, consistent laws of geometry that bring order to our visual environment.

Frequency Domain Analysis

Synthesize Fourier transforms and frequency filters to extract clarity and meaning from complex visual information. Acquiring this profound analytical lens fosters a capacity for lifelong learning, providing a versatile toolkit that remains relevant across a career of evolving signal processing technologies.