Course Details

Subject {L-T-P / C} : EC6617 : Signal and Image Processing { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Prof. Sukadev Meher

Syllabus

Signal Processing
Fundamental: Basics of discrete time sequences, convolution, correlation, time domain and frequency domain analysis of LTI system.
Discrete Fourier Transform: Properties and Applications, Analysis using DFT, Fast Fourier Transform Algorithms: FFT algorithms and Applications.
Digital Filter Design: Design of FIR and IIR filters.

Image Processing
Image Enhancement in Spatial Domain: Some basic gray level transformations, Histogram processing, Smoothing and Sharpening spatial filters.
Image Enhancement in Frequency Domain: The basics of filtering in the frequency domain, Image smoothing and sharpening using frequency domain filters, Homomorphic filtering.
Color Image Processing: Color fundamentals, Color models, Pseudo-color processing, Basics of full-color image processing.
Image Compression: Image compression models, Some Basic Compression Methods.
Image Segmentation: Detection of discontinuities, Edge linking and boundary detection, Thresholding, Region based segmentation.

Course Objectives

Course Outcomes

After completion of this course, a student will be able: <br />1) To understand the basics of signals and systems and image processing systems <br />2) To analyze signals and systems and image processing systems <br />3) To design FIR and IIR filters for 1-D signals <br />4) To design spatial domain and frequency domain filters for image processing applications <br />5) To carry out research in the field of signal and image processing.

Essential Reading

Supplementary Reading