Private: BE COMPS SEM 7 – DIGITAL SIGNAL & IMAGE PROCESSING

Module 1 – Discrete-Time Signal and Discrete-Time System
15 Topics
1.1.a Introduction to Digital Signal Processing
1.1.b Sampling and Reconstruction
1.1.c Standard DT Signals
1.1.d Concept of Digital Frequency
1.1.e Representation of DT signal using Standard DT Signals
1.1.f Signal Manipulations(shifting, reversal, scaling, addition, multiplication)
1.2.a Classification of Discrete-Time Signals
1.2.b Classification of Discrete Systems
1.3.a Linear Convolution formulation for 1-D and 2-D signal (without mathematical proof)
1.3.b Circular Convolution (without mathematical proof)
1.3.c Linear convolution using Circular Convolution.
1.3.d Auto and Cross Correlation formula evaluation
1.3.e LTI system
1.3.f Concept of Impulse Response and Step Response
1.3.g Output of DT system using Time Domain Linear Convolution
Module 2 – Discrete Fourier Transform
16 Topics
2.1.a Introduction to DTFT
2.1.b DFT
2.1.c Relation between DFT and DTFT
2.1.d IDFT
2.2.a.i Properties of DFT without mathematical proof : Scaling and Linearity
2.2.a.ii Properties of DFT without mathematical proof : Periodicity
2.2.a.iii Properties of DFT without mathematical proof : Time Shift and Frequency Shift
2.2.a.iv Properties of DFT without mathematical proof : Convolution Property
2.2.a.v Properties of DFT without mathematical proof : Parsevals‘ Energy Theorem
2.2.b DFT computation using DFT properties
2.3.a Transfer function of DT System in frequency domain using DFT
2.3.b.i Linear Convolution using DFT
2.3.b.ii Circular Convolution using DFT
2.3.c.i Convolution of long sequences : Overlapp Add Method
2.3.c.ii Convolution of long sequences : Overlapp save Method
2.3.d Introduction to 2-D DFT
Module 3 – Fast Fourier Transform
6 Topics
3.1.a Need of FFT
3.1.b Radix-2 DIT-FFT algorithm
3.2.a.i DIT-FFT Flow graph for N=4
3.2.a.ii DIT-FFT Flow graph for N=8
3.2.b Inverse FFT algorithm
3.3 Spectral Analysis using FFT
Module 4 – Digital Image Fundamentals
6 Topics
4.1.a Introduction to Digital Image
4.1.b Digital Image Processing System
4.1.c Sampling and Quantization
4.2.a Representation of Digital Image
4.2.b Connectivity
4.3 Image File Formats: BMP, TIFF and JPEG
Module 5 – Image Enhancement in Spatial domain
8 Topics
5.1.a Gray Level Transformations
5.1.b Zero Memory Point Operations
5.2.a Histogram Processing
5.2.b Histogram equalization
5.3.a Neighborhood Processing
5.3.b Spatial Filtering
5.3.c Smoothing and Sharpening Filters
5.3.d Median Filter
Module 6 – Image Segmentation
3 Topics
6.1 Segmentation based on Discontinuities (point, Line, Edge)
6.2.a Image Edge detection using Robert, Sobel, Previtt masks
6.2.b Image Edge detection using Laplacian Mask
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2.3.a Transfer function of DT System in frequency domain using DFT

Private: BE COMPS SEM 7 – DIGITAL SIGNAL & IMAGE PROCESSING Module 2 – Discrete Fourier Transform 2.3.a Transfer function of DT System in frequency domain using DFT
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