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Course Name : DIGITAL IMAGE PROCESSING
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Semester 7
Sno Session Plan Header
Section Material
Plan
Type
Course Code Course Name
Type
Course Syllabus Session Plans Attendance
1
introduction
what is image, black and white and color image attributes. camera Lecture
CSE2710
Cloud Computing
Compulsory
View
29/29 (100.00)
details, Pixel parameters
2
CSE2711
Session Plan Topic
imageCloud
acquisition
devices, construction, sensor
Computingdetails
Lab about charge coupled
Compulsory
fundamentals
View Lecture
25/25 (100.00)
CSE2703
DIGITAL IMAGE PROCESSING
Compulsory
View
3
applications of image different areas of applications
processing
CSE2706
DIGITAL IMAGE PROCESSING LAB
Compulsory
View
4
different sub
image acquisition, image denoising, image segmentation, image
CSS2751 disciplines
English
I
Compulsory
of image
compression, image filtering,
image morphing, image stitching,
View
processing
image morphing, animation
CSE2712
Project-I
Compulsory
5
details of each sub
brief description about each sub discipline and processes to View
disciplines
operate them
BEH2751
RELATIONSHIP MANAGEMENT
Compulsory
View
6
sampling and
definition of sampling, quantization, need and process, block
CSE2735 quantization
SUMMER INTERNSHIP
II (EVALUATION)
Compulsory
diagram
View
7
basic math
use and result of math operations on images
LAW2552
Legislation themes in Human Rights
Elective
operations on image
LAN2753
8
spatialSPANISH-VII
and intensity
features of image
View
Lecture35/41 (85.37)
29/29 (100.00)
Lecture
10/11 (90.91)
Lecture
10/10 (100.00)
Lecture
0/0 (0)
Practical
27/31 (87.10)
FBL intensity features of images, basic View Lecture
spatial features of images,
19/19 (100.00)
techniques of capture and manipulations
9
image histogram and basics of histogram and higher order statistics of the image
other statistical
information
Lecture
10
image filtering
high pass, low pass and band pass band reject filtering
Lecture
11
spatial enhancement
spatial enhancement techniques
Lecture
12
frequency domain
techniques
13
image restoration
noise degradation due to noise, type of noise, different techniques
of restoration
Lecture
14
color image
processing
fundamentals of color images, acquisition, enhancement, filters
and restoration
Practical
filters, enhancement and restoration continued
Practical
different image transforms
Lecture
17
different image transforms
Lecture
18
different image transforms
Lecture
19
different image transforms
Lecture
15
16
image transforms
image filtering using frequency domain techniques
Lecture
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20
wavelet transforms
fundamentals of wavelet
Lecture
21
analog wavelet
different types of analog window functions
Lecture
22
discrete wavelets
different types of discrete window functions
Lecture
23
image compression
different image compression techniques, lossy and lossless
Lecture
24
continued
Lecture
25
continued
Lecture
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