Basic fundamentals of Digital Image Processing.ppt

Contact Information:
P.K.Thiruvikraman
vikram@bits-pilani.ac.in
Chamber: 3265
Website:
http://discovery.bits-pilani.ac.in/discipline/physics/pkt
hiru/index.html
For solutions to some Test problems and sample
programs and slides

Website of Textbook:
http://www.imageprocessingplace.com/
For: solutions to some of the book problems and
other material.

This Course deals with:
1. Image Enhancement (in the spatial domain): 10
lectures
2. Image Enhancement (in the Fourier domain): 9
lectures
3. Image Restoration: 4 lectures
4. Image Compression: 13 lectures
5. Image Segmentation and Representation: 4
lectures

Desirable Pre-Requisites:
1. Fourier transforms
2. Probability and statistics

Applications of Image Processing:
1. Image Enhancement: Improving the
contrast of images. Contrast may be low
due to poor lighting as in wildlife
photography.
2. Removal of Motion blur
3. Removal of noise
4. Image Compression

Digital Image ACQUISITION
Slide courtesy of : Prof. Gonzalez &
Prof. Woods

SAMPLING AND QUANTISATION
pixel

0 0 0 0 128 0 0 0 0
0 0 0 0 128 0 0 0 0
0 0 0 0 128 0 0 0 0
0 0 0 0 128 0 0 0 0
0 0 0 0 128 0 0 0 0
0 0 0 0 128 0 0 0 0
0 0 0 0 128 0 0 0 0
0 0 0 0 128 0 0 0 0
0 0 0 0 128 0 0 0 0

EFFECT OF QUANTISATION
False
contouring

STORAGE SPACE FOR IMAGE:
IMAGE OF SIZE M X N with 2K
GRAY
LEVELS:
M x N x K

Basic fundamentals of Digital Image Processing.ppt

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Basic fundamentals of Digital Image Processing.ppt