Logarithmic transformation functions can be used to compress the dynamic range of ai image in order to bring out features that were not originally as clear. & Close all open figures and clear all workspace variables. % Generate a logarithmic transformation function. clear ;clc;close all x = 0:255; c = 255 / log (256); y=c*log(x + 1); figure, plot (y),title('Log Mapping Function'), axis tight, axis square % Use the transformation function to generate the adjusted image. I = imread ('tire.tif'); I log = uint8 (v(T + 1)) :
Logarithmic transformation functions can be used to compress the dynamic range of ai image in order to bring out features that were not originally as clear. & Close all open figures and clear all workspace variables. % Generate a logarithmic transformation function. clear ;clc;close all x = 0:255; c = 255 / log (256); y=c*log(x + 1); figure, plot (y),title('Log Mapping Function'), axis tight, axis square % Use the transformation function to generate the adjusted image. I = imread ('tire.tif'); I log = uint8 (v(T + 1)) :
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
Shows the results of applying gamma correction to an input image using two different values of n, how does the shape of the curve change if we were to use a different value for n?
Transcribed Image Text:Logarithmic transformation functions can be used to compress the dynamic range of an
image in order to bring out features that were not originally as clear.
* Close all open figures and clear all workspace variables.
% Generate a logarithmic transformation function.
clear ;clc;close all
x = 0:255; c = 255 / log (256) ;
y=c*log (x + 1);
figure, plot (y),title('Log Mapping Function'), axis tight, axis square
% Use the transformation function to generate the adjusted image.
imread ('tire.tif');
= I
I_log = uint8 (y(I + 1)) ;
Figure, subplot (2,2,1), imshow (I), title('Original Image');
subplot (2,2, 2), imshow(I_log), title('Adjusted Image');
subplot (2,2,3),imhist(I),title('histogram of original image');
subplot (2,2,4), imhist(I_log), title ('histogram of log image');
% The inverse of the log function is as follows.
exp (x/c) - 1;
I_invlog
figure, subplot (3,1,1), plot (z), title ('Inverse-log Mapping Function');
subplot (3,1,2), imshow (I_invlog), title('Adjusted Image');
subplot (3,1,3), imhist(I_invlog), title ('histogram of invlog image');
= uint8 (z (I_log + 1)) ;
![% Create a negative transformation function and show the result after applied to the
moon image.
imread('moon.tif');
= uint8(255:-1:0);
y
I_neg
y (I + 1);
figure, subplot(1,3,1), plot(y),title('Transformation Function'),
xlim ( [0 255]), ylim([0 255]);
subplot (1,3,2), imshow (I), title ('Original Image');
subplot (1,3,3), imshow (I_neg), title('Negative Image');
I_cmp
imcomplement (I); figure, imshow(I_cmp)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa399817f-fafa-4575-9d3c-7151d439e0d0%2Fece5db4c-a3c1-40f6-b19a-f4f2f60e45f9%2F4ta4acq_processed.png&w=3840&q=75)
Transcribed Image Text:% Create a negative transformation function and show the result after applied to the
moon image.
imread('moon.tif');
= uint8(255:-1:0);
y
I_neg
y (I + 1);
figure, subplot(1,3,1), plot(y),title('Transformation Function'),
xlim ( [0 255]), ylim([0 255]);
subplot (1,3,2), imshow (I), title ('Original Image');
subplot (1,3,3), imshow (I_neg), title('Negative Image');
I_cmp
imcomplement (I); figure, imshow(I_cmp)
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