Digital Image Processing (DIP)

Digital image processing focuses on two major tasks
-Improvement of pictorial information for human interpretation
-Processing of image data for storage, transmission and representation for autonomous machine perception

1. DIGITAL IMAGE
PROCESSING
By
Srikanth VNV

2. SYNOPSIS
INTRODUCTION
WHAT IS DIGITAL IMAGE
WHAT IS DIGITAL IMAGE PROCESSING
WHY IMAGE PROCESSING
TYPES OF DIP
APPLICATIONS OF DIP
CONCLUSION

3. Digital image processing is the use of
computer algorithms to perform image
processing on digital images
As a subcategory or field of digital signal
processing, digital image processing has many
advantages over analog image processing.
INTRODUCTION

4. A digital image is a representation of a two-dimensional image
as a finite set of digital values, called picture elements or pixels
Digitization implies that a digital image is an approximation of a
real scene
WHAT IS DIGITAL IMAGE
1 pixel

5. WHAT IS DIGITAL
IMAGE(cont…)
Common image formats include:
–1 sample per point (B&W or Grayscale)
–3 samples per point (Red, Green, and Blue)
–4 samples per point (Red, Green, Blue, and “Alpha”,
a.k.a. Opacity)

6. Digital Image Processing involves
•Improvement of pictorial information for human
interpretation
•Processing of image data for storage, transmission
and representation for autonomous machine
perception
WHAT IS DIGITAL IMAGE
PROCESSING

7. •Since the digital image is “invisible” it must be prepared
for viewing on one or more output device (laser printer,
monitor etc.)
•The digital image can be optimized for the application by
enhancing or altering the appearance of structures within
it (based on: body part, diagnostic task, viewing
preferences etc.)
•It has vast range of applications in fields of Astronomy,
Defense, Research, Forensics etc…
WHY IMAGE PROCESSING

8. •Image-to-image transformations
•Image-to-information transformations
•Information-to-image transformations
TYPES OF DIP

9. TYPES OF DIP EXPLAINED
Image-to-Image transformation
Image-to-Information transformation
Information-to-Image transformation

10. STAGES IN IMAGE PROCESSING
Image
Acquisition
Image
Restoration
Morphological
Processing
Segmentation
Representation
& Description
Image
Enhancement
Object
Recognition
Problem Domain
Colour Image
Processing
Image
Compression

11. APPLICATIONS OF DIP
oMedicine
oSecurity Systems
oDocument Processing
oLaw Enforcement & Forensics
oPhotography
oGIS
oSpace exploration and Astronomy
oVideo and Film Special Effects

12. MEDICINE
•Take slice from MRI scan of canine heart,
and find boundaries between types of
tissue
–Image with gray levels representing tissue
density
–Use a suitable filter to highlight edges
Original MRI Image of a Dog Heart Edge Detection Image

13. G I S
•Geographic Information Systems
–Digital image processing techniques are used
extensively to manipulate satellite imagery
–Terrain classification
–Meteorology

14. LAW ENFORCEMENT
•Image processing
techniques are used
extensively by law
enforcers
–Number plate recognition
for speed
cameras/automated toll
systems
–Fingerprint recognition
–Enhancement of CCTV
images

15. SECURITY SYSTEMS
It is used for identifying or verifying a person
-In mobile and laptops to unlock them
It is used in security
systems
- fingerprint, eye detection

16. Digital image processing allows the use of much more
complex algorithms.
Hence it offers both
-more sophisticated performance at simple tasks
-the implementation of methods which would be
impossible by analog means.
CONCLUSION

17. GOOD TO LEARN FROM BOOK
BEETER TO LEARN FROM SOUNDS
BEST TO LEARN FROM IMAGES
FINALLY

18. ANY QUERIES???