The Final Year Project presentation titled "Digital Image Communication and Enhancement" delivered at Electrical Engineering Department, HITEC University Taxila.

1. DIGITAL IMAGE COMMUNICATION
AND ENHANCEMENT

2. PROJECT SUPERVISOR:
• DR JAMEEL AHMED
TEAM MEMBERS
• NISAR AHMED RANA
• SHEIKH M ARSHAD
• GHAZAL ARSHAD
• MARIA MINHAS
HITEC University Taxila
Department of Electrical Engineering
PROJECT ADVISOR
• ENGR WAQAS AHMED

3. Sequence of Presentation
1 •Introduction
2 •Proposed Solution
3 •Implementation
4 •Results
5 •Conclusion
6 •Appendix

4. Introduction
 Image communication and enhancement is
vital in today’s world.
 Every image needs more or less enhancement
to make it clearer for visual perception.
 Images captured at remote areas are needed
to be transferred at a desired location with
speed, more accuracy and security.

5. Introduction
 Image enhancement techniques are used to
emphasize and sharpen image features to
obtain a visually more pleasant, more
detailed, or less noisy output image.
 Image Encryption techniques are used to
make the image secure over a public network
whereas image compression reduces size for
fast communication.

6. Scope
Image communication and enhancement is being used
in various fields:
 E-toll plaza (Number-plate Recognition System)
 Celestial imaging
 Security purposes(Intruder and thief check)
 Visual Surveillance
 Biometrics (Fingerprint, Iris, Facial Recognition)
 Biomedical imaging etc.

7. Problem Statement
 To develop a complete solution for digital
image enhancement for improved
visualization.
 Develop an efficient image encryption and
compression solution for fast and secure
communication.

8. Proposed Solution

9. Image Enhancement
A variety of image enhancement
techniques are discussed and implemented.
The Enhancement results of these
techniques depend on specific application.
The basic working of the application is:-
Processing Better ImageInput Image
Enhancement
Technique

10. Image Communication
Image communication has been
done by using PC to PC wired
connection.
It can be easily transported over
any public network

11. Image Compression
Lossless image compression compresses on
the basis of reducing the redundancy. An
image having high correlation in its pixels
can be compressed more then an image
having low correlation.
We have encrypted the image such that the correlation of image
pixels become minimized and its histogram becomes uniform. So
lossless compression is not suitable for highly uncorrelated
images.
Simple lossy compression is implemented to reduce the size of
image which uses DCT. The image encryption and decryption
work well even after compression by lossy compression or
popular image compression standards such as JPEG.

12. Image Encryption
Encryption is the process of transforming
information using an algorithm to make it
unintelligible to anyone except those
possessing special knowledge, usually referred
to as a key.
The result of the process is encrypted
information.
The reverse process of encryption is called
decryption, to make the encrypted information
readable again.

13. Image Encryption
Input
Image
Make Tiles
Permute
the Tiles
Chaos Map
Encrypted Image
Multiply it with
Permuted Image
Generate
Orthonormal Vector

14. Results of Contrast Enhancement
Contrast Enhancement results
of Grayscale X-Ray images.
Contrast Enhancement results
Of color images.

15. Results of Noise Reduction
Digital X-Ray of Chest (Postoanterior view) is contrast enhanced (left) and a
portion (right) is enhanced by reducing noise.

16. Result of Image Encryption
Original Image Permuted Image
ReconstructionEncrypted Image

17. CONCLUSION
The proposed algorithm has been tested on a
large set of images from digital radiographic
images, celestial images to digital camera images.

18. FUTURISTIC
Though various aspects of image enhancement are catered
for in the implementation and subsequent exercise of
results, nevertheless, we understand that it is so
demanding and absorbing area for research that the work
could substantially be carried forward in following
directions as a future work:
Improvement in selective noise reduction techniques.
Implementation in real time environment.

19. ACHIEVEMENT
 Digital Radiographic Image Enhancement for Improved
Visualization, Nisar Ahmed, Waqas Ahmed, Sheikh
Muhammad Arshad, EMCOT COMSAT Institute of
Information Technology, Page 38, May 9-10, 2011.
 The Application of Image Enhancement on Color and
Grayscale Images, Nisar Ahmed, Waqas Ahmed, APTEC
2011 CIIT-IEEE Proceeding. Page 17, April 10, 2011.
 A Compression Friendly Image Encryption Scheme, Nisar
Ahmed, under process