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Digital Image Processing EXAM 2025 Exam Questions and Correct Answers With 100% Correct Answers | Latest 2025 Update.

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Digital Image Processing EXAM 2025 Exam Questions and Correct Answers With 100% Correct Answers | Latest 2025 Update.

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DIGITAL IMAGE PROCESSING
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DIGITAL IMAGE PROCESSING









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Institution
DIGITAL IMAGE PROCESSING
Course
DIGITAL IMAGE PROCESSING

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Uploaded on
May 27, 2025
Number of pages
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Written in
2024/2025
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Digital Image Processing EXAM 2024/2025 questions and answers | verified
Matrix size = - Matrix size = M x N x k bits



Field of View (FOV) - - Overall dimensions of

the matrix.

- In CR and DR the size

of the FOV is

determined by the

size of the detector



pixel size= - FOV/matrix



What happens to pixel size as Matrix size increases (FOV stays the same) - As Matrix size gets
bigger, pixel size gets smaller (if FOV stays the same)



Bit Depth - - Number of shades of gray each pixel is capable of displaying

- M x N x k bits

- Each pixel =2k gray levels

- Increase bit depth = more shades of gray



Classes of Image Processing (5)? - 1. Image Enhancement

Goal: to generate a more diagnostic image;

sharpening



2. Image Restoration

Goal: to improve the quality of images that have

distortions or degradations.



3.) Image synthesis

, Goal: To crate a new image from other

images



4. Image Analysis

Goal: allows measurements and statistics to be

performed; extraction of meaningful information

(ie. ROI in CT; leg length measurements)



5. Image Compression

Lossless compression (reversible

compression)

Lossy compression (irreversible

compression)



The spatial location domain - Physical location of each pixel relative to the entire

image



The spatial frequency domain - The location of small structures (details) versus

the location of large structures (contrast)

in an image



how do you Switch domains? - The Fourier transform converts from one domain to the other.



explain what Image Pre-Processing: Dead pixel means? - • Pixels that don't

respond to

radiation at all

• Appear as small

white dots prior

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