1. Design a 220×220 black image with a 30×30 centered white square and then find its Fourier Transform 2. Rotate the rectangle in image 30 and find its Fourier Transform 3. Translate the rectangle in image to another location and find its Fourier Transform 4. Scale the rectangle in image into 40×40 and find its Fourier Transform 5. Display all the images above as in video using subplot

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
icon
Related questions
Question

Matlab

Answer the questions if you are 100% sure of the solution. 

1. Design a 220×220 black image with a 30×30 centered white square and then
find its Fourier Transform
2. Rotate the rectangle in image 30 and find its Fourier Transform
3. Translate the rectangle in image to another location and find its Fourier
Transform
4. Scale the rectangle in image into 40×40 and find its Fourier Transform
5. Display all the images above as in video using subplot
Task 2:
Write a Matlab code to read 'eight.tif' image and to do the following:
a.
Add 'gaussian' noise into the image with 0 mean and 0.005 variance and
save it in a noisy_img.
Apply a 5 x 5 average filter with replicate border into the noisy img, and
display the result.
b.
C.
Apply a Gaussian low-pass filter on the noisy img with D0=42 and D0=25
and display the results
Transcribed Image Text:1. Design a 220×220 black image with a 30×30 centered white square and then find its Fourier Transform 2. Rotate the rectangle in image 30 and find its Fourier Transform 3. Translate the rectangle in image to another location and find its Fourier Transform 4. Scale the rectangle in image into 40×40 and find its Fourier Transform 5. Display all the images above as in video using subplot Task 2: Write a Matlab code to read 'eight.tif' image and to do the following: a. Add 'gaussian' noise into the image with 0 mean and 0.005 variance and save it in a noisy_img. Apply a 5 x 5 average filter with replicate border into the noisy img, and display the result. b. C. Apply a Gaussian low-pass filter on the noisy img with D0=42 and D0=25 and display the results
Expert Solution
steps

Step by step

Solved in 4 steps

Blurred answer
Knowledge Booster
Image Element
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
Database System Concepts
Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education
Starting Out with Python (4th Edition)
Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON
Digital Fundamentals (11th Edition)
Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON
C How to Program (8th Edition)
C How to Program (8th Edition)
Computer Science
ISBN:
9780133976892
Author:
Paul J. Deitel, Harvey Deitel
Publisher:
PEARSON
Database Systems: Design, Implementation, & Manag…
Database Systems: Design, Implementation, & Manag…
Computer Science
ISBN:
9781337627900
Author:
Carlos Coronel, Steven Morris
Publisher:
Cengage Learning
Programmable Logic Controllers
Programmable Logic Controllers
Computer Science
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education