**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
Reviewed by Suresh Bojja
on
10/28/2015 07:51:00 AM
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