DIP LESSON PLAN 2019-20

ANDHRA LOYOLA INSTITUTE OF ENGINEERING AND TECHNOLOGY

DEPARTMENT OF E.C.E

                        LESSON PLAN                            

SUB: DIGITAL IMAGE PROCESSING                             Academic Year:2019-20

FACULTY:Dr.K.P.Jasmine                 Branch: IV ECE              Sem: I

 

S. NO.	Unit No.	Topic to be Covered	Remarks
1	I	Origin,Uses of Digital Image processing
2		Fundamental steps,components of DIP
3		Digital image fundamentals
4		Elements of visual perception
5		Image sensing and acquisition,sampling& quantization
6		Basic relationship between pixels,Mathematical tools
7		Need for Image transforms
8		Introduction to FT,DFT,FFT,DCT,DST
9		Parsevels,haar,walsh,slant,hadamard
10		SVD &KL transforms,problems
11	II	Basic intensity transfer functions, Histogram processing
12		Fundamentals of spatial filtering
13		Smoothing and sharpening spatial filters
14		Fuzzy techniques of intensity transforms
15		Sampling and FT of sampled functions
16		DFT of one variable,2-D,Properties
17		Filtering in frequency domain
18		Image smoothing and sharpening using FD filters
19		Selective filtering, Implementation
20		Problems
21	III	Image degradation/restoration process
22		Noise models
23		Restoration in presence of noise only
24		Periodic noise-FD filtering,linear,Position invariant Degradation
25		Estimation of degradation function
26		Inverse filtering, weiner filtering
27		Constrained least squares filtering
28		GM filter, Image reconstruction
29		Problems
30		Problems
31	IV	Color fundamentals, color models
32		Pseudocolor image processing
33		Basics of Full-color Image processing
34		Color transformations ,Smoothing and sharpening
35		Image segmentation based on color
36		Noise in color images
37		Color image compression
38		problems
39	V	Image pyramids,sub-band coding
40		Multiresolution expansions
41		Wavelet transforms in 1-Dimension,2-D
42		The fast wavelet transform
43		Wavelet packets,Image compression
44		Various Lossy compression methods
45		Various Lossless compression methods
46		Coding techniques-Huffmann,LZW, Arithmatic
47		Coding techniques-1-D,2-D RLC
48		Image watermarking, Compression standards
49	VI	Morphological image processing basics
50		Erosion and Dilation
51		Opening and closing
52		The Hit-or-Miss transformation
53		Basic morphological algorithms
54		Grey-scale morphology
55		Image segmentation fundamentals
56		Point,line,edge detection
57		Thresholding, Region based segmentation
58		morphological watersheds,Use of motion

 

 

 

 

 

         

 

 

 

 

 

 

 

 

 

 

 

     Faculty                      Coordinator                                      HOD

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

ANDHRA LOYOLA INSTITUTE OF ENGINEERING AND TECHNOLOGY

DEPARTMENT OF E.C.E

                        LESSON PLAN                            

SUB: DIGITAL IMAGE PROCESSING                             Academic Year:2018-19

FACULTY: Dr.K.P.Jasmine               Branch: IV ECE -II                   Sem: I

 

S. NO.	Unit No.	Date	Topic to be Covered	Remarks
1	I	11/6/18	Origin,Uses of Digital Image processing
2		14/6/18	Fundamental steps,components of DIP
3		14/6/18	Digital image fundamentals
4		18/6/18	Elements of visual perception
5		21/6/18	Image sensing and acquisition,sampling& quantization
6		21/6/18	Basic relationship between pixels,Mathematical tools
7		23/6/18	Need for Image transforms
8		25/6/18	Introduction to FT,DFT,FFT,DCT,DST
9		28/6/18	Parsevels,haar,walsh,slant,hadamard
10		28/6/18	SVD &KL transforms,problems
11	II	30/6/18	Basic intensity transfer functions, Histogram processing
12		2/7/18	Fundamentals of spatial filtering
13		5/7/18	Smoothing and sharpening spatial filters
14		5/7/18	Fuzzy techniques of intensity transforms
15		7/7/18	Sampling and FT of sampled functions
16		9/7/18	DFT of one variable,2-D,Properties
17		12/7/18	Filtering in frequency domain
18		12/7/18	Image smoothing and sharpening using FD filters
19		16/7/18	Selective filtering, Implementation
20		19/7/18	Problems
21	III	19/7/18	Image degradation/restoration process
22		21/7/18	Noise models
23		23/7/18	Restoration in presence of noise only
24		26/7/18	Periodic noise-FD filtering,linear,Position invariant Degradation
25		26/7/18	Estimation of degradation function
26		28/7/18	Inverse filtering, weiner filtering
27		30/7/18	Constrained least squares filtering
28		2/8/18	GM filter, Image reconstruction
29		2/8/18	Problems
30		4/8/18	Problems
31	IV	13/8/18	Color fundamentals, color models
32		16/8/18	Pseudocolor image processing
33		16/8/18	Basics of Full-color Image processing
34		18/8/18	Color transformations ,Smoothing and sharpening
35		20/8/18	Image segmentation based on color
36		23/8/18	Noise in color images
37		23/8/18	Color image compression
38		25/8/18	problems
39	V	27/8/18	Image pyramids,sub-band coding
40		30/8/18	Multiresolution expansions
41		30/8/18	Wavelet transforms in 1-Dimension,2-D
42		1/9/18	The fast wavelet transform
43		3/9/18	Wavelet packets,Image compression
44		6/9/18	Various Lossy compression methods
45		6/9/18	Various Lossless compression methods
46		10/9/18	Coding techniques-Huffmann,LZW, Arithmatic
47		13/9/18	Coding techniques-1-D,2-D RLC
48		13/9/18	Image watermarking, Compression standards
49	VI	15/9/18	Morphological image processing basics
50		17/9/18	Erosion and Dilation
51		20/9/18	Opening and closing
52		20/9/18	The Hit-or-Miss transformation
53		22/9/18	Basic morphological algorithms
54		24/9/18	Grey-scale morphology
55		27/9/18	Image segmentation fundamentals
56		27/9/18	Point,line,edge detection
57		29/9/18	Thresholding, Region based segmentation
58		1/10/18	morphological watersheds,Use of motion

 

 

 

 

 

          Faculty                           Coordinator                                      HOD