MATLAB exercise program (image mosaic)

The processing principle is to assign the average value of the neighboring pixels to all the pixels in the neighborhood.

The processing method is divided into two parts: Line and line. The visual effect after line processing is better.

Source image:

Processing result (without line ):

Processing result (with line ):

The Code processes a line.

The Matlab code is as follows:

Clear all; close all1_clc1_img1_imread('lena.jpg '); imshow (IMG, []); [H w] = size (IMG); imgn = zeros (H, W); n = 12; nw = floor (W/n) * n; nH = floor (H/n) * n; for y = 1: N: NH for x = 1: N: NW imgn (Y: Y + n-1, X: x + N-1) = mean (IMG (Y: Y + n-1, X: x + N-1 ))); end imgn (Y: Y + n-1, NW + 1: W) = mean (IMG (Y: Y + n-1, NW + 1: W ))); % process the last column imgn (Y, 1: W) = 128; endfor x = 1: N: NW imgn (NH + 1: H, X: x + N-1) = mean (IMG (NH + 1: H, X: x + N-1); % process the last line imgn (1: H, x) = 128; endimg N (NH + 1: H, NW + 1: W) = mean (IMG (NH + 1: H, NW + 1: W ))); % handle the last angular imgn (1: H, NW) = 128; imgn (1: H, W) = 128; imgn (NH, 1: W) = 128; imgn (H, 1: W) = 128; figure; imshow (imgn, [])

If the mosaic restoration algorithm exists, it will surely become super powerful...

MATLAB exercise program (image mosaic)