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As of late 2025, several repositories stand out as highly reliable. Here are the most referenced verified sources:
Book reference: Section 4.4.2 – Ideal Lowpass Filter
Verified snippet:
f = imread('moon.tif');
f = im2double(f);
% Fourier transform and shift
F = fft2(f);
Fc = fftshift(F);
% Create ideal lowpass filter (radius 30)
[M, N] = size(f);
u = 0:(M-1); v = 0:(N-1);
[U, V] = meshgrid(u, v);
D = sqrt((U - M/2).^2 + (V - N/2).^2);
radius = 30;
H = double(D <= radius);
% Apply filter
G = H .* Fc;
g = real(ifft2(ifftshift(G)));
imshow(g);
Verification note: Verified repos use meshgrid correctly (some use ndgrid incorrectly). The 3rd edition specifically uses meshgrid to preserve coordinate alignment. As of late 2025, several repositories stand out
Book reference: Section 3.3.1, Listing 3.2
Verified implementation:
% Read a low-contrast image I = imread('pout.tif'); % Display histogram subplot(2,2,1), imshow(I), title('Original'); subplot(2,2,2), imhist(I), title('Histogram');
% Apply histogram equalization from Image Toolbox J = histeq(I); subplot(2,2,3), imshow(J), title('Equalized'); subplot(2,2,4), imhist(J), title('Equalized Histogram');Why this is "verified" code: Matches the book’s
Why this is "verified" code:
Matches the book’s output exactly. A non-verified version might use a custom hist_equalize function with off-by-one errors. Verified repos test against the book’s figure 3.14.
Start with a high-star, recently committed GitHub repo that includes a README.md with installation instructions and at least one test script. Clone it, run dipum3e_setup, and execute ch02/ch02_example01.m. If it reproduces Figure 2.4 from the book without errors, you’ve found a verified resource. After extensive research and community cross-referencing
Pro tip: Bookmark the repository’s Issues tab. A well-maintained repo will have closed issues that answer common MATLAB version problems (e.g., R2023b vs R2019a compatibility).
Have you found a particularly reliable GitHub repo for the 3rd edition? Share the link in the comments—but please mention which MATLAB release you tested it on.
After extensive research and community cross-referencing, here are the most reliable GitHub repositories for Digital Image Processing Using MATLAB, 3rd Edition.
How to verify yourself:
Look for the "verified" topic tag on GitHub, or check the repository’s README for a "Verification Status" badge. Many legit repos also include a requirements.txt or a MATLAB_version_check.m script.