DSIP Syllabus Mumbai University

Hello I want to know about the detailed syllabus of DSIP from Mumbai University of VII semester so please provide me the syllabus soon as my exams are too close and I want to study???

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As you are looking for the syllabus of DSIP so here I am providing you the syllabus below.

University of Mumbai
Class : B.E . Branch : Computer
Engineering
Semester : VII
Subject :IGITAL SIGNAL & IMAGE PROCESSING(Abbreviated as DSIP)
Periods per Week( Each
60 Min)
Lecture 04
Practical 02
Tutorial -----
Hours Marks
3
Evaluation System Theory 03 100
Oral --- 25
Term Work --- 25
Total --- 150
DETAILED SYLLABUS
Module Content Lect Weit
-age
Chapter 1 Discrete Time Signal and System : Introduction:Signals,
Systems and Signal processing, classification of signals,
system, LTI system,Freqency domain representation of
DTS & Signals. Convolution , Correlation.
06 L 10%
Chapter 2 Z-Transforms: Introduction, Z-transforms , Inverse ZTransforms,
properties,System Function , Application of ZTransform,
Unilateral Z-Transform
06L 10%
Chapter 3 Discrete Fourier Transform: Introduction , DFT and its
properties, FFT algorithms – direct, divide and conquer
approach, radix-2 algorithm(Decimination In Time ), 2-D
DFT & FFT .
05 L 15%
Chapter 4
Introduction to Digital Image Processing Systems:
Introduction, Brightness adoption and discrimination , Image
sampling and quantization, basic relationship between
pixels.
02L 5%
Chapter 5
Image Transforms : Introduction to Fourier Transform,
properties of Walsh Transform, Hadamard Transform,
Discrete Cosine Transform, Slant Transform, Optimum
Transform: Karhunen- Loeve (Hotelling) Transform , Radon ,
Comparison of Transform. Introduction to wavelet transform
08L 15%
Chapter 6
Image Enhancement:
Image Enhancement in the Spatial domain : Spatial domain
point operation and Neighbourhood Operation , Gray-Level
Transformation,Median Filter , Bit plane slicing , Histogram
Processing, Arithmetic and Logic Operation, Spatial filtering:
Introduction, smoothing and sharpening filters., Image
Enhancement in the frequency domain: Frequency-domain
filters: smoothing and sharpening filters, homomorphic
filtering
08L 15%
Chapter 7
Image Restoration and Denoising : Introduction,Image
Degradation, Types of Image Blur , Classification of image
restoration Techniques , Image Restoration Model , Linear
and non-Linear image restoration Technique, Blind
deconvolution , Image Denoising , Classification of Noise in
5L 10%
4
Image, Trimmed Average Filter, Applications of Image
restoration.
Chapter 8
Image segmentation: Detections of discontinuities,
edge-linking and boundary detection, thresholding, regionbased
segmentation, Hough’s transform
4L 10%
Chapter 9
Image Data Compression: Fundamentals, redundancies:
coding, inter-pixel, psychovisual, fidelity criteria, image
compression models, error-free compression, lossy
Compression
4L 10%
BOOKS
1 Introduction to Digital signal processing – John G. Proakis, D.G.
Manolakis (Maxwell Macmillan Int.)
2 R. C.Gonsales R.E.Woods, “Digital Image Processing”,Second
edition, Pearson Education
REFERANCE :
1 S.Salivahanan “ Digital Signal processing “ TMH
2 Anil K.jain, ‘Fundamentals of Image Processing’, PHI
3 s.Jayaraman , S Esakkirajan , T Veerakumar “ Digital Image
Processing “ Mc Graw Hill.
4 TAMAL BOSE “ Digital Signal and Image Processing “ John
Wiley & Sons , Inc.
TERM WORK
1.Term work should consist of at least 10 practical experiments and two assignments
covering the topics of the syllabus (15 marks)
A term Work test of 10 marks must be conducted .
List of Practicals
1. Write Matlab Program for generation and Manipulation of signal.
2 Write Matlab Program for convolution and correlation.
3 Write C/C++ Program for Discrete Fourier Transform.
4 Write Matlab Program for Image negative , Gray level Slicing
5
5 Write Matlab Program for Dynamic range compression &Bit plane
slicing
6 Write Matlab Program for Histogram Processing
7 Write Matlab Program for Image smoothing.
8 Write Matlab Program for Image sharpening.
9 Write Matlab Program for Edge detection.
10 Write Matlab Program for Trimmed Average Filter.
11 Write Matlab Program for lossless Image Compression.
12 Write Matlab Program for lossy Image Compression.
Mumbai University Syllabus.





Contact Details:
University of Mumbai
CST Road, Kalina,
Santacruz East, Mumbai,
Maharashtra 400098
Phone: 022 2654 3000
I am attaching the full syllabus in the PDF form.