Louisiana State University
Department of Electrical and Computer Engineering
EE4780 - Introduction to Computer Vision
Spring 2007

Problem Set 3

Assigned: March 17, 2007 (Monday)
Due: March 24, 2007 (Monday)
What to Return: Email your m-file(s) to the TA by midnight.

Problem 1: 

Write a matlab function that will implement least squares filtering - (constrained solution).

Your function will be as follows:

function [ img_restored ] = imgrestore(img, h, p, gamma);

% img: input image (could be color image)
% h: a 2D lowpass filter
% p: a 2D highpass filter (it acts as a regularization term)
% gamma: a scalar that controls the weight of the regularization term



Problem 2: 

Write a matlab function that will implement inverse filtering with an ideal lowpass filter.

Your function will be as follows:

function [ img_restored ] = imgrestore2(img, h, cutoff);

% img: input image (could be color image)
% h: a 2D lowpass filter
% cutoff: a scalar normalized to range [0-1] that determines the cutoff frequency