JNTUH B.Tech 4th year (4-1) Digital Image Processing gives you detail information of Digital Image Processing (Elective – I) R13 syllabus It will be help full to understand you complete curriculum of the year.
Course Objectives
Provide the student with the fundamentals of digital image processing.
- Give the students a taste of the applications of the theories taught in the subject. This will be achieved through the project and some selected lab sessions. Introduce the students to some advanced topics in digital image processing.
- Give the students a useful skill base that would allow them to carry out further study should they be interested and to work in the field.
UNIT – I
Digital Image Fundamentals & Image Transforms: Digital Image Fundamentals, Sampling and Quantization, Relationship between Pixels,
Image Transforms: 2-D FFT, Properties, Walsh Transform, Hadamard Transform, Discrete Cosine Transform, Haar Transform, Slant Transform, Hotelling Transform.
UNIT -II
Image Enhancement (Spatial Domain): Introduction, Image Enhancement in Spatial Domain, Enhancement Through Point Operation, Types of Point Operation, Histogram Manipulation, Linear and Non — Linear Gray Level Transformation, Local or Neighborhood Operation, Median Filter, Spatial Domain High-Pass Filtering.
Image Enhancement (Frequency Domain): Filtering in Frequency Domain, Obtaining Frequency Domain Filters from Spatial Filters, Generating Filters Directly in the Frequency Domain, Low Pass (Smoothing) and High Pass (Sharpening) Filters in Frequency Domain.
UNIT -III
Image Restoration: Degradation Model, Algebraic Approach to Restoration, Inverse Filtering, Least Mean Square Filters, Constrained Least Squares Restoration, Interactive Restoration.
TEXT BOOKS
- Digital Image Processing – Rafael C. Gonzalez, Richard E. Woods, 3rd Edition, Pearson, 2008
- Digital Image Processing- S Jayaraman, S Esakkirajan, T Veerakumar- TMH, 2010.
REFERENCE BOOKS
- Digital Image Processing and Analysis-Human and Computer Vision Application with using CVIP Tools – Scotte Umbaugh, 2nd Ed, CRC Press, 2011
- Digital Image Processing using MATLAB — Rafael C. Gonzalez, Richard E Woods and Steven L. Eddings, 2nd Edition, TMH, 2010.
- Fundamentals of Digital Image Processing — A.K.Jain, PHI, 1989
- Digital Image Processing and Computer Vision — Somka, Hlavac, Boyle- Cengage Learning (Indian edition) 2008.
- Introductory Computer Vision Imaging Techniques and Solutions- Adrian low, 2008, 2nd Edition
- Introduction to Image Processing & Analysis — John C. Russ, J. Christian Russ, CRC Press, 2010.
- Digital Image Processing with MATLAB & Labview — Vipula Singh, Elsevie r.
Course Outcomes
- Upon successfully completing the course, the student should
- Have an appreciation of the fundamentals of Digital image processing including the topics of filtering, transforms and morphology, and image
analysis and compression. - Be able to implement basic image processing algorithms in MATLAB
- Have the skill base necessary to further explore advance d topics of Digital Image Processing
- Be in a position to make a positive professional contribution in the field of Digital Image Processing.
- At the end of the course the student should have a clear impression of the breadth and practical scope of digital image processing and have arrived at a level of understanding that is the foundation for most of the work currently underway in this field.
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