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