This document discusses digital image processing. It defines digital image processing as using computer algorithms to process digital images. Digital images represent scenes as a finite set of digital values called pixels. Digital image processing involves improving images for viewing, storage, and machine analysis. The main types of digital image processing are image-to-image, image-to-information, and information-to-image transformations. Applications include medicine, security, maps, law enforcement, and special effects. Digital image processing allows for more complex algorithms than analog image processing.

1. Digital
image
processing
Name: Parekh Jessica

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

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
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
Compression

11. APPLICATIONS OF DIP
o Medicine
o Security Systems
o Document Processing
o Law Enforcement & Forensics
o Photography
o GIS
o Space exploration and Astronomy
o Video 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
a suitable filter to h ight edges
– Use Original RI Image of a Dog Heart
ighl

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???