Overview: This project extends DSP concepts to two$-$dimensional signals $($images$).$ Students will implement various image filters using $2$D convolution in both spatial and frequency domains.

Objectives:

$-$ Apply $2$D convolution to perform image blurring, sharpening, and edge detection.

$-$ Implement frequency domain filtering using the $2$D DFT$/$FFT$.$

$-$ Compare the results of spatial domain and frequency domain filtering.

$-$ Analyze the effects of different filters on image quality and features.

Expected Outcomes:

$-$ A set of image processing functions that apply various filters to images.

$-$ A comparative analysis of spatial vs$.$ frequency domain filtering.

$-$ A REPORT $($DUE DEC. $6,2024)$ detailing the methodology, results, and interpretations, including visual demonstrations showing original and processed images.