Course File Preparation









Subject:


Academic Year:                                 


Name of the Faculty: 


Department: 


Batch & Year:




______________________________________________________________________________

INDEX
COURSE FILE
S.No.
Topic
Page No.

I. Instruction for the Maintenance of the Course File


II. Standard Operating Procedure (SOP) on preparation of class notes

1.
Syllabus

2.
Objective and Matching with Outcomes

3.
Target

4.
Session Planner

5.
Syllabus Coverage

6.
Time Table

7.
Lecture wise handwritten class notes (Minimum of one application or real time example in each unit)

8.
List of Weak Students and Remedial Action
a. Weak Students as per JNTU Result
b. Weak Students as per Mid Term Test Result
c. Remedial Action

9.
Mid Term Test, Quality and Evaluation

10.
Assignments

11.
Tutorial

12.
Question Bank/ Papers
a. Subjective Unit Wise (5 descriptive questions with answers
    preparation per unit; 02 theory based & 03 problematic based)
b. Objective Unit Wise (10 objective bits with answers
    preparation per unit ; 05 Theory based & 05 problematic based)

13.
Sample Assignments

14.
Sample Solved Question Paper

15.
List of  Outcomes

16.
Task Table

17.
Course Completion Certificate

18.
HOD Review and Quality Audit
























1. SYLLABUS
(Syllabus to be added by the Faculty Member as per the JNTU)


































2. OBJECTIVES
(Objectives to be prepared by the Faculty Member as per the Course Syllabus and matched with the outcomes given at S.No.15 of the Index)
























COURSE DESCRIPTION

Course No:

Course Title: Digital Image Processing

1. Course Objective:

            Digital pictures today are all around us, on the web, on DVDs, and on digital satellite systems, for example.. The course will consist of theoretical material introducing the mathematics of images. Topics will include representation of two-dimensional data, time and frequency domain representations, filtering and enhancement, the Fourier transform, convolution, interpolation, color images, morphological operations, fuzzy technique and images reconstruction by back projections. From this we get the knowledge about understanding the overview of digital image processing field, fundamentals, concepts  and gain the experience in applying image processing algorithms to real problems.



2. Course Educational Objective:

The Educational objectives of the course are:

1. Provide the student with the fundamentals of digital image processing.
2. Give the students a taste of the applications of the theories taught in the subject. This will be achieved through the showing the videos of  real time applications.
3. Introducing some advanced topics by the concepts which are learned in the course.
4. Students would allow them to carry out further study should they be interested and to work in the field.



3. Course Outcomes:

 Students can demonstrate the ability:

1)students can  acquire the fundamental concepts of a digital image processing.

2) student can acquire the knowledge in  spatial and frequency domain analysis by using different    techniques  

3) student  can able to  analyze 2D signals in the frequency domain through the Fourier transform

4) Can develop simple algorithms for image processing operations.

5) student can understand the concepts of image compression, segmentation, projections, fuzzy techniques, morphology.

















3. TARGET (%)
(Target of the Subject Result to be prepared by the faculty member as per the proforma)
























TARGET (%)


Subject: Digital Image Processing

Branch: Electronics and Communication Engineering

Academic Year: IV B.Tech                                                              Semester:I


Faculty:B.SURESH



1. Pass Percentage:

2. First Class with distinction (>=75%):

3. First Class (60-69):

4. Pass Class (40-49):



Signature of Faculty













4. SESSION PLANNER
(Session Planner of the Subject to be prepared by the faculty member as per the proforma according to syllabus, assignments, class tests, tutorials and Mid Exams)






















SESSION PLANNER
Subject:Digital Image processibg

Branch & Year:ECE-IV                  Semester: I                             Academic Year:2013-14

Faculty: B.SURESH

Unit No.
S.No.
Topic
Lecture Number as per the period
Date Planned
Remarks
UNIT-1
1
Origins of Digital Image Processing, Uses Digital Image Processing,




2
Fundamental steps in Digital Image Processing, Components of an Image Processing System




3
Digital Image Fundamentals, Elements of Visual Perception



4
Light and Electromagnetic Spectrum, Imaging Sensing and Acquisition, Image Sampling and Quantization



5
Some Basic Relationships between Pixels



6
An Introduction to the Mathematical Tools used in Digital Image Processing



7
Need for Image Transforms, Spatial Frequencies in Image Processing, Introduction to Fourier Transform



8
Discrete Fourier Transform, Fast Fourier Transform and its algorithm,



9
 Properties of Fourier transform



10
Image Transforms



11
Image Transforms



UNIT-2
13
Background, Some Basic Intensity Transformation Functions



14
Histogram Processing



15
Histogram Processing



16
Fundamentals of Spatial Filtering,



17
Sharpening Spatial Filters,



18
Smoothing Spatial Filters



19
Spatial Filtering



20
Spatial Filtering



21
Combining Spatial Enhancement Methods



22
using Fuzzy Techniques for Intensity Transformations



23
using Fuzzy Techniques for Intensity Transformations









UNIT-3
24
Preliminary Concepts,



25
Sampling and the Fourier Transform of Sampled Functions



26
The Discrete Fourier Transform (DFT) of one Variable



27
Extension to Functions of Two Variables,



28
Some Properties of the 2-D Discrete Fourier Transform



29
The Basic of Filtering in the Frequency Domain



30
Image Smoothing using Frequency Domain Filters



31
Image Smoothing using Frequency Domain Filters



32
Image Smoothing using Frequency Domain Filters



33
Selective Filtering, Implementation




34
Selective Filtering, Implementation



UNIT-4
35
A Model of the Image Degradation/Restoration Process, Noise Models



36
Restoration in the Presence of Noise Only- Spatial Filtering



37
Periodic Noise Reduction by Frequency Domain Filtering



38
Linear, Position-Invariant Degradations



39
Estimation the Degradation Function



40
Inverse Filtering



41
Minimum Mean Square Error (Wiener) Filtering



42
Constrained Least Squares Filtering



43
Geometric Mean Filter,



44
Image Reconstruction from Projections



45
Image Reconstruction from Projections







UNIT-5
46
Color Fundamentals



47
Color Models, Pseudocolor Image Processing



48
Basic of Full-Color Image Processing



49
Color Transformations



50
Color Transformations



51
Smoothing and Sharpening



52
Image Segmentation Based on Color,Color Image Compression



53
Noise in Color Images



UNIT-6
54
Image Pyramids, Subband Coding & Haar Transform



55
Multiresolution Expansions



56
Wavelet Transforms in One Dimension,The Fast Wavelet Transform



57
Wavelet Transforms in Two Dimensions



58
Wavelet packets



59
Various Compression methods – Coding Techniques




60
Various Compression methods – Coding Techniques



61
Digital Image watermarking




UNIT-7
62
Preliminaries, Erosion and Dilation



63
Erosion and Dilation



64
Opening and Closing,



65
The Hit-or-Miss Transformation



66
Some Basic Morphological Algorithms



67
Some Basic Morphological Algorithms



68
Grey- Scale Morphology



69
Grey- Scale Morphology



UNIT-8
70
Point, Line, and Edge Detection



71
Point, Line, and Edge Detection



72
Thresholding,



73
Thresholding,



74
Region-Based Segmentation



75
Region-Based Segmentation



76
Segmentation Using Morphological Watersheds



77
The use of Motion in Segmentation



78
The use of Motion in Segmentation



Note: Fortnightly verification by HOD




Signature of Faculty                                                                        Signature of HOD













5. SYLLABUS COVERAGE
(Syllabus Coverage to be prepared by the faculty member as per the proforma)
























SYLLABUS COVERAGE
Subject: Digital Image Processing

Branch & Year:ECE & IV                          Semester: I                 Academic Year:2013-14

Unit
Lecture No.
Topic
Date Planned
Date Conducted
Reasons for Non Compliance
Plan to overcome non compliance

1
Origins of Digital Image Processing, Uses Digital Image Processing,






2
Fundamental steps in Digital Image Processing, Components of an Image Processing System






3
Digital Image Fundamentals, Elements of Visual Perception





4
Light and Electromagnetic Spectrum, Imaging Sensing and Acquisition, Image Sampling and Quantization





5
Some Basic Relationships between Pixels





6
An Introduction to the Mathematical Tools used in Digital Image Processing





7
Need for Image Transforms, Spatial Frequencies in Image Processing, Introduction to Fourier Transform





8
Discrete Fourier Transform, Fast Fourier Transform and its algorithm,





9
 Properties of Fourier transform





10
Image Transforms





11
Image Transforms





13
Background, Some Basic Intensity Transformation Functions





14
Histogram Processing





15
Histogram Processing





16
Fundamentals of Spatial Filtering,





17
Sharpening Spatial Filters,





18
Smoothing Spatial Filters





19
Spatial Filtering





20
Spatial Filtering





21
Combining Spatial Enhancement Methods





22
using Fuzzy Techniques for Intensity Transformations





23
using Fuzzy Techniques for Intensity Transformations





24
Preliminary Concepts,





25
Sampling and the Fourier Transform of Sampled Functions





26
The Discrete Fourier Transform (DFT) of one Variable





27
Extension to Functions of Two Variables,





28
Some Properties of the 2-D Discrete Fourier Transform





29
The Basic of Filtering in the Frequency Domain





30
Image Smoothing using Frequency Domain Filters





31
Image Smoothing using Frequency Domain Filters





32
Image Smoothing using Frequency Domain Filters





33
Selective Filtering, Implementation





34
Selective Filtering, Implementation





35
A Model of the Image Degradation/Restoration Process, Noise Models





36
Restoration in the Presence of Noise Only- Spatial Filtering





37
Periodic Noise Reduction by Frequency Domain Filtering





38
Linear, Position-Invariant Degradations





39
Estimation the Degradation Function





40
Inverse Filtering





41
Minimum Mean Square Error (Wiener) Filtering





42
Constrained Least Squares Filtering





43
Geometric Mean Filter,





44
Image Reconstruction from Projections





45
Image Reconstruction from Projections





46
Color Fundamentals





47
Color Models, Pseudocolor Image Processing





48
Basic of Full-Color Image Processing





49
Color Transformations





50
Color Transformations





51
Smoothing and Sharpening





52
Image Segmentation Based on Color,Color Image Compression





53
Noise in Color Images





54
Image Pyramids, Subband Coding & Haar Transform





55
Multiresolution Expansions





56
Wavelet Transforms in One Dimension,The Fast Wavelet Transform





57
Wavelet Transforms in Two Dimensions





58
Wavelet packets





59
Various Compression methods – Coding Techniques





60
Various Compression methods – Coding Techniques





61
Digital Image watermarking





62
Preliminaries, Erosion and Dilation





63
Erosion and Dilation





64
Opening and Closing,





65
The Hit-or-Miss Transformation





66
Some Basic Morphological Algorithms





67
Some Basic Morphological Algorithms





68
Grey- Scale Morphology





69
Grey- Scale Morphology





70
Point, Line, and Edge Detection





71
Point, Line, and Edge Detection





72
Thresholding,





73
Thresholding,





74
Region-Based Segmentation





75
Region-Based Segmentation





76
Segmentation Using Morphological Watersheds





77
The use of Motion in Segmentation





78
The use of Motion in Segmentation




Note: Fortnightly verification by HOD



Signature of Faculty                                                             Signature of HOD











6. TIME TABLE
(Time Table to be prepared by the Faculty Member from the class time table)



























7. LECTURE WISE CLASS NOTES
(Lecture wise Class Notes to be filled by the faculty member with minimum of one application or real time example in each unit.)




















8. LIST OF WEAK STUDENTS AND REMEDIAL ACTION

a. Weak Students as per JNTU Result
b. Weak Students as per Mid-term test result
c. Remedial action

(List of weak students and remedial action to be prepared as per proforma)























WEAK STUDENTS AS PER JNTU

Subject:DIGITAL IMAGE PROCESSING

Branch & Year:ECE & IV            Semester:I                                Academic Year:2013-14

S.No.
Hall Ticket No.
Name
%









































































Note:  Weak Students are the students who secure less than 50% marks in Previous JNTU External Examinations





LIST OF WEAK STUDENTS AS PER MID TERM TEST RESULT

Subject:DIGITAL IMAGE PROCESSING

Branch:ECE                          Semester:I                              Academic Year:IV

Faculty:B.SURESH

Mid Term Test I/II

S.No.
Hall Ticket No.
Name
%









































































Note:  Weak Students are the students who secure less than 10 marks out of 20 in Mid Term Tests




SCHEDULE OF REMEDIAL CLASSES

Subject: Digital Image Processing

Branch/Year: ECE/IV                      Semester: I                             Academic Year:2013-14

Faculty: B.SURESH

Date
Day
Period
No. of Students Attended
Theory/ Restest
















Performance of Weak Students in Additional make-up Test

Roll No.
Name
Marks Obtained













































9. MID-TERM TEST, QUALITY AND EVALUATION























MID-TERM TEST, QUALITY AND EVALUATION

Subject:DIGITAL IMAGE PROCESSING

Branch:ECE                          Semester:I                              Academic Year:IV

Faculty:B.SURESH

Mid Term Test I/II             

Mid Term
Questions
Date Conducted
Date of distribution
Marks entered in register
I











II














Quality verified by HOD: Good/Average/Poor

Signature of HOD













10. ASSIGNMENTS
(Assignment Topics and other details to be prepared by the faculty member as per proforma )























ASSIGNEMENTS, QUALITY AND EVALUATION

Subject:Digital Image Processing

Branch: ECE                         Semester:I                              Academic Year:2013-14

Faculty:B.SURESH

Unit No.
Assignment No.
Topic
Date Planned
Date of Submission
Date of Distribution
Marks entered in register
I
1





II
2





III
3





IV
4





V
5





VI
6





VII
7





VIII
8








Signature of Faculty                                                                                 Signature of HOD













11. TUTORIAL
(List of Tutorial Topics to be prepared by the faculty member as per proforma)

























TUTORIAL

Subject: Digital image processing

Branch:ECE                          Semester:I                              Academic Year:2013-14

Faculty:B.SURESH

S. No.
Unit No
Tutorial Topic
Date Conducted
1

I



2

II



3

III



4

IV



5

V



6

VI



7

VII



8

VIII
































12. QUESTION BANK/ PAPERS
a. Subjective Unit Wise (5 descriptive questions with answers preparation per unit; 02 theory based & 03 problematic based)
b. Objective Unit Wise (10 objective bits with answers preparation per unit ; 05 Theory based & 05 problematic based)
(To be collected and filled by the faculty member)


















13. SAMPLE ASSIGNMENTS
(One Sample Assignment of the Student for each unit to be filled by the faculty member)

























14. SAMPLE SOLVED QUESTION PAPERS
 (One Sample Solved Question Paper filled by the Faculty Member)

























15. LIST OF OUTCOMES
(To be matched by the faculty member to the Objective)



































OUTCOME
Outcome
Level
Proficiency assessed by
A
An ability to apply knowledge of computing, mathematical foundations, algorithmic principles and computer science and engineering theory in the modelling and design of computer based systems to real-world problems
H

B
An ability to design and conduct experiments, as well as to analyse and interpret data.
H

C
An ability to design, implement, and evaluate a computer based system, process, component, or programme to meet desired needs, within realistic constraints such as economic, environmental, social, political, health and safety, manufacturability, and sustainability.
S

D
An ability to function effectively on multi-disciplinary teams.
N

E
An ability to analyse a problem, and identify, formulate and use the appropriate computing and engineering requirements for obtaining its solutions
H

F
An understanding of professional, ethical, legal, security and social issues and responsibilities.
N

G
An ability to communicate effectively, both in writing and orally.
N

H
The broad education necessary to analyse the local and global impact of computing and engineering solutions on individuals, organisations, and society.
S

I
Recognition of the need for, and an ability to engage in continuing professional development and life-long learning.
S

J
Knowledge of contemporary issues.
N

K
An ability to use current techniques, skills, and tools necessary for computing and engineering practice.
H

L
An ability to apply design and development principles in the construction of software and hardware systems of varying complexity
H

M
An ability to recognise the importance of professional development by pursuing post-graduate studies or face competitive examination that offer challenging and rewarding carriers in computing
S

N=None, S=Supportive, H=Highly Related,
Proficiency assessed by: Tutorials, Lectures, Exams



























16. TASK TABLE
 (Task Table To be prepared by the faculty member as per the profarma)




















File No:

Name of the Faculty:B.SURESH
TASK TABLE
Page No.1
Task. No.
Task Description
Target Date
Completed Date
Ext 1
Ext 2
Remarks












































































































17. COURSE COMPLETION CERTIFICATE
 (Course Completion Certificate To given by the faculty member as per the proforma)






















COURSE FILE

COURSE COMPLETION CERTIFICATE

I, __________________________________faculty in the Department of _________________ have taught__________________________subject to the students of I/II/III/IV B.Tech/M.Tech / MBA / MCA (I/II) Semester and _________________ branch during Academic Year ________.

I certified that I have completed eight units on __________or could not complete__________portion of Unit No.______________due to reasons, i.e._________


Signature of the faculty with date                                            Signature of HOD








18. HOD REVIEW AND QUALITY AUDIT






















HOD REVIEW (Fortnightly)

S.No.
Date of Review
Signature of HOD
Signature of Principal





















Quality Audit

S.No.
Date of Audit
Observation if any
Signature of Auditor






















Course File Preparation Course File Preparation Reviewed by Suresh Bojja on 10/28/2015 07:51:00 AM Rating: 5

Subjects & Labs

AC (6) ADS (2) ATMEL (6) AWP (5) C- Language (3) CAO (5) CDAC (1) Cloud Computing (1) CMC (6) CN (10) CONSERVATION & MANAGEMENT Complete Notes (1) Control Sys (2) CVSM (2) Data Analytics (1) DC (5) Digital System Design (3) DIP (17) DLD (10) DLD Lab Manual (1) DS (4) DSD&DICA (9) DSP (6) EDC (45) Electonic Components (2) Embedded (7) EMWTL (6) ENERGY AUDIT (1) Engg. Mechanics (2) Engg.Chemistry (11) Faculty Files (6) Faculty Labs (1) Fuzzy (3) II MID (1) Job Exam Papers (4) LICA (1) Linux OS (1) Materials (1) MATLAB (27) MCU IDE 8051 (1) MEMS (4) MPMC (57) MPMC LAB Manual (3) MTECH (6) MWE (2) OC (1) PDC (9) Projects (8) RADAR (1) Research (9) RVSP (3) SC (1) Softwares (1) SS (2) STLD (19) TCSS (1) TSSN (1) TV Engg (1) VHDL (4) VLSI (8) VLSI Lab manual (1) WCN (1) Wireless Commu. (1) WSN (2)
Theme images by sebastian-julian. Powered by Blogger.