CSU2543

Digital Image Processing Lab

8 interactive practicals covering Gonzalez & Woods 3rd Edition. Shoolini University.

01 G&W Ch 2 Loading & Displaying Images Load digital images, inspect properties, display histograms, and compare multiple images. Explore → 02 G&W Ch 2 Impact of Sampling Rate on Spatial Resolution Progressive downsampling to analyze sampling rate and spatial resolution. Explore → 03 G&W Ch 2–3 Negation, Subtraction & Inversion Image negation, absolute difference subtraction, and intensity inversion with medical imaging. Explore → 04 G&W Ch 3 Gamma Correction & Power Law Transformations Power law transformations, log transforms, and contrast enhancement for dark and bright images. Explore → 05 G&W Ch 3 Histogram Equalization Enhance contrast via CDF-based intensity redistribution, transfer functions, and PDF/CDF analysis. Explore → 06 G&W Ch 3 Histogram Matching & Specification Transform image histograms to match target distributions via CDF inversion and multi-target comparison. Explore → 07 G&W Ch 3 2D Correlation & Convolution Implement correlation and convolution from first principles, demonstrate the impulse-response distinction, and apply standard kernels to a real image. Explore → 08 G&W Ch 3 Spatial Filtering: Smoothing & Sharpening Box and median filters for noise smoothing; Laplacian and Sobel operators for sharpening and edge detection. Explore →

Certificate

This is to certify that Divya Mohan, bearing roll number GF202214698, a student of Bachelors of Technology in Computer Science and Engineering, Yogananda School of AI, Computers and Data Sciences, Shoolini University, Solan (H.P.), has satisfactorily completed the practical work for the course Digital Images Processing (CSU2543) during the academic session 2025–2026.

The work presented in this practical file is original and has been carried out under my supervision. To the best of my knowledge, the results contained herein have not been submitted, in part or in full, for the award of any other degree or diploma.

Ms. Ishani Sharma
Faculty In-charge, CSU2543
Yogananda School of AI, Computers and Data Sciences
Date

Acknowledgement

I would like to express my sincere gratitude to Ms. Ishani Sharma, faculty in-charge for Digital Images Processing (CSU2543), for her valuable guidance, patient mentorship, and constant encouragement throughout the practical sessions of this course.

I am also grateful to the Yogananda School of AI, Computers and Data Sciences, Shoolini University, for providing the laboratory infrastructure that made these experiments possible, and for fostering an environment that encourages rigorous, hands-on learning.

Finally, I thank my peers and family for their unwavering support during the preparation of this practical file.

Divya Mohan
Roll No. GF202214698
B.Tech. CSE (8th Semester)

Index

No. Experiment Title Reference Page
1. Loading and Displaying Images G&W Ch 2 1.∗
2. Impact of Sampling Rate on Spatial Resolution G&W Ch 2 2.∗
3. Image Negation, Subtraction, and Inversion G&W Ch 2–3 3.∗
4. Gamma Correction and Power Law Transformations G&W Ch 3 4.∗
5. Histogram Equalization G&W Ch 3 5.∗
6. Histogram Matching and Specification G&W Ch 3 6.∗
7. 2D Correlation and Convolution G&W Ch 3 7.∗
8. Spatial Filtering: Smoothing and Sharpening G&W Ch 3 8.∗