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.

To understand basics of signal and systems

To analyze and design FIR and IIR filters

To get familiarized with image formation and image filtering techniques

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

J. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles Algorithms and Applications, Pearson Education , 4th edition, 2014

R. C. Gonzalez and R. E. Woods, Digital Image Processing, Pearson Education , 4th edition, 2018

S. K. Mitra, Digital Signal Processing: A computer based approach, TMH , 2013

A. K. Jain, Fundamentals of Digital Image Processing, Pearson Education , 2015