this is a complete overview of image processing.

1. IMAGE PROCESSING
PRESENTED BY-
KAUSHIK JHA(ROLL NO-14300214019)
MADHUSHREE GHOSH(ROLL NO-14300214020)
MRINMOYEE RANA(ROLL NO-14300214021)
NADIA KHATUN(ROLL NO-14300214022 ) OF
B.TECH,IT,3RD YR,6TH SEMESTER.

2. CONTENTS
• INTRODUCTION
• WHY WE NEED IMAGE PROCCESING
• PURPOSE OF IMAGE PROCESSING
• TYPES OF IMAGE PROCESSING
• ADVANTAGE AND DISADVANTAGE OF IMAGE PROCESSING
• VARIOUS TECHNIQUES OF IMAGE PROCESSING
• APPLICATION
• FUTURE SCOPE
• CONCLUSION

3. INTRODUCTION
 Image processing is a method to perform
some operations on an image.
 We get enhanced image or to extract some
useful information from it.
 It is a type of signal processing in which
input is an image and output maybe
image or characteristics associated with
that image.
 Nowadays, image processing is among
rapidly growing technologies.

4. WHY WE NEED
IMAGE
PROCESSING?
• Since the digital image is “invisible” it
must be prepared for viewing on one
or more output device.
• The digital image can be optimized
for the application by enhancing or
altering the appearance of structures
within it.
• It might be possible to analyze the
image in the computer.

5. PURPOSE OF
IMAGE
PROCESSING
The purpose of image processing is divided into 5
groups. They are:
1. Visualization - Observe the objects that are
not visible.
2. Image sharpening and restoration - To create
a better image.
3. Image retrieval - Seek for the image of
interest.
4. Measurement of pattern – Measures various
objects in an image.
5. Image Recognition – Distinguish the objects in
an image

6. TYPES OF IMAGE PROCESSING
DIGITAL IMAGE
PROCESSING
ANALOG IMAGE
PROCESSING

7. ANOTHER TYPES
OF IMAGE
PROCSSING
• Image-to-image
transformations
• Image-to-information
transformations
• Information-to-image
transformations

8. COMPONENTS OF IMAGE PROCESSING
• Image Sensors: Digital processing requires images to be obtained in the form
of electrical signals
-There are many ways to convert images into digital numbers. Here, we will
focus on video technology
• Image Displays: Most computers use color monitors that have much higher
resolution than a television set.
- Smaller phosphor dots, a higher frequency scan, and a single progressive scan
produce much greater sharpness and color purity.
• Software Requirements: Adobe Photoshop , Corel Draw , Serif Photoplus
• Hardware Requirements : High-resolution image display, sufficient memory
transfer bandwidth, sufficient storage space, and sufficient computing power.

9. ADVANTAGES &
DISADVANTAGES
OF IMAGE
PROCESSING
ADVANTAGES:
• This one is more accurate than the
overlapping method because it is based
upon minutia.
• It is an interactive method for recognizing
fingerprints.
DISADVANTAGES :
• It is more time consuming as compared to
the former.
• More complex program.

10. VARIOUS TECHNIQUES OF IMAGE
PROCESSING
• Geometric Transformation
• Image Smoothing
• Contrast Enhancement

11. GEOMETRIC TRANSFORMATION
• Geometric Transformation are simply alignments done on images.
• Helps to collect the exact appearance of an objects.
3 types of Geometric Transformation:
(I)Translation
(II)Rotation
(III)Scaling

12. TYPES
• TRANSLATION: Axes of individual are displayed by their respective
displacement factor.
• ROTATION: It is one type of alignment where an image is rotated w.r.t
different axes with different angles.
• SCALING: Operation axes of individuals are multiplied by respective scaling
factor.

13. IMAGE
SMOOTHING
• It is a technique to reduce noise
in a digital image.
• Usually applied to diminish the
spurious noise.
3 types of Image Smoothing:-
(I)Low pass filtering
(II)Gaussian filtering
(III)Median filtering

14. TYPES
• LOW PASS FILTERING: Since noise contribute in high frequency
component so LPF is used to suppress such high frequency component to
remove those noises.
• GAUSSIAN FILTERING: The filter can be used to soften edges,and to
filter out spurious noise in an image.
• MEDIAN FILTERING: It is very effective to remove impulse noise.

15. CONTRAST ENHANCEMENT
• Processing an image means to enhance certain features of that image.
• One of the defect found in images is its poor contrast due to inadequate
lighting, aperture size, shutter speed, etc.
2 types of Contrast Enhancement:-
(I)Histogram
(II)Histogram equalization

16. TYPES
• HISTOGRAM: It gives global
description of an image.
• HISTOGRAM
EQUALIZATION: It means
increasing dynamic range of
the gray level.

17. WHAT IS THE SCOPE OF IMAGE
PROCESSING
• GAMING
• ROBOTIC
• IMAGE ENHANCING

18. APPLICATIONS OF IMAGE PROCESSING
• Face detection
• Medical image processing
• Finger print recognization
• Feature detection
• Non-photorealistic rendering
• Microscope image processing
• Morphological image processing
• Remote sensing
• Automated Sieving Procedure

19. FACE DETECTION

20. FINGERPRINT RECOGNITION

21. MEDICAL IMAGE PROCESSING

22. FUTURE SCOPE
• Google Image Search
• Argus II

23. FUTURE SCOPE
• Drone Traffic Monitoring
• Amazon Drone Delivery