Image Processing in MATLAB to Reducing Quantization Levels | ADC 4.9
Image processing in MATLAB (code in description) to reducing quantization levels is the content of this video. Moreover, how to do Image Analysis and Quantization of an image as a Matlab tutorial is shown in this video. Specifically, we reduce the Quantization levels (L) of an given image from L = 256 to L=8 and L = 4. Lastly, a montage based plot is used to display results.
#Quantization #ImageProcessing #MATLAB
%Ahmad Kamal Hassan
%%% For further information, refer to
%%% https://www.mathworks.com/help/images...,
clc
close all
clear all
figure(1)
I = imread('Picture.jpg');
imshow(I)
axis off
title('Original Image')
Quantization_level = max(I(:));
keyboard
%Qunatization Level Reduction to 8
thresh8 = multithresh(I,7);
valuesMax8 = [thresh8 max(I(:))]
[quant8_I_max, index] = imquantize(I,thresh8,valuesMax8);
valuesMin8 = [min(I(:)) thresh8];
quant8_I_min = valuesMin8(index);
%Qunatization Level Reduction to 4
thresh4 = multithresh(I,3);
valuesMax4 = [thresh4 max(I(:))]
[quant4_I_max, index] = imquantize(I,thresh4,valuesMax4);
valuesMin3 = [min(I(:)) thresh4]
quant4_I_min = valuesMin3(index);
keyboard
figure(2)
multi = cat(4,quant8_I_min,quant8_I_max,quant4_I_min,quant4_I_max);
montage(multi); % montage plot
title('Minimum Interval Value Maximum Interval Value')
ylabel('L = 4 L = 8')