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Image Processing

Image Processing Notes

Image Processing

Image Processing is the semester 5 subject of IT engineering offered by Mumbai Universities. Prerequisite for studying these subject is Mathematics and Statistics.

As images are two dimensional signals, the single dimensional Digital Signal Processing fundamentals. Course Objectives of the subject Image Processing are as follows the course will help the students to get familiar with Fundamental concepts of a digital image processing system. Concepts of image enhancement techniques. Various Image Transforms. Compression techniques and Morphological concepts. Various segmentation techniques, and object descriptors. Color models and various applications of image processing. Course Outcomes of the subject Image Processing are as follows Students should be able to remember the fundamental concepts of image processing. Explain different Image enhancement techniques. Understand and review image transforms. Analyze the basic algorithms used for image processing &image compression with morphological image processing. Contrast Image Segmentation and Representation. Design & Synthesize Color image processing and its real world applications.
Digital image processing is the use of a digital computer to process digital images through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems. The generation and development of digital image processing are mainly affected by three factors: first, the development of computers; second, the development of mathematics (especially the creation and improvement of discrete mathematics theory); third, the demand for a wide range of applications in environment, agriculture, military, industry and medical science has increased.
Module Introduction to digital image processing system covers the following subtopics such as Fundamental Steps in Digital Image Processing, Components of an Image Processing System, Image Sensing and Acquisition, Image Sampling and Quantization, Basic Relationships between Pixels.
Module Image enhancement covers the following subtopics such as Intensity Transformations and Spatial Filtering, Histogram processing, Filtering in Frequency Domain.
Module Image transforms covers the following subtopics such as Discrete Fourier transform – Properties of two dimensional DFT, DCT, DST, Walsh, Hadamard, Haar Transform and their properties.
Module Image compression and morphological image processing covers the following subtopics such as Fundamentals of compression, Basic compression Methods, Huffman Coding, Arithmetic Coding , LZW Coding , RunLength Coding , Symbol-Based Coding, Bit-Plane Coding, Block Transform Coding , Predictive Coding. Image morphology, Opening & Closing, Hit or Miss Transform, Basic Morphological Algorithms
Module Image segmentation and representation covers the following subtopics such as The detection of discontinuities – Point, Line and Edge detections , Hough Transform, Thresholding Region based segmentation Chain codes, Polygon approximation, Shape numbers, Fourier descriptors, statistical Moments.
Module Color Image Processing and Applications covers the following subtopics such as Color Fundamentals and Models, Pseudocolor Image Processing, Smoothing and Sharpening, Image Segmentation Based on Color. Biometric Authentication, Digital watermarking, Content Base Image Retrieval. Vector quantization.
Suggested Text Books for these subject Image Processing by Mumbai University are as follows Rafael C. Gonzalez and Richard E.woods, ā€œDigital Image Processingā€, Addition – Wesley Publishing Company, New Delhi, Third Edition, 2007. William K. Pratt, ā€œDigital Image Processingā€, John Wiley, NJ, Fourth Edition 2007. Suggested Reference Books for these subject Image Processing by Mumbai University are as follows Sid Ahmed M.A., ā€œImage Processing Theory, Algorithm and Architecturesā€, McGraw-Hill, 1995. Kenneth R Castleman, ā€œDigital Image Processingā€, Prentice Hall, New Delhi, 1996. Anil.K.Jain, ā€œFundamentals of Digital Image Processingā€, Prentice Hall of India Pvt Ltd., New Delhi, 1995. S. Sridhar, ā€œ Digital Image Processingā€, second Edition, Oxford university press, New Delhi, 2016. S. Jayaraman, S. Esakkirajan, T. Veerakumar ā€œ Digital Image Processingā€, McGraw-Hill, 2016.

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Course Features

  • Lectures 49
  • Quizzes 0
  • Duration 4 hours
  • Skill level All levels
  • Language Hindi
  • Students 118
  • Certificate No
  • Assessments Yes
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Qualification : Bachelor of Engineering in Computer. passionate about teaching.


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    1 Comment

  1. October 1, 2019

    Thank you very much SirjiišŸ™šŸ»šŸ™šŸ»

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