Register for free….Limited period OFFER. Digital Image Processing is a rapidly evolving field with growing applications in science and engineering. Image processing holds the possibility of developing the ultimate machine that could perform the visual functions of all living beings. There is an abundance of image processing applications that can serve mankind with the available and anticipated technology in the near future. The syllabus is competent with master degree. Learners will get insight of each topic. The course includes study material with Question and Answers.
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Books : 1) R. C. Gonsales R. E. Woods, “Digital Image Processing”,Second Edition, Person Eduction. 2) Anil K. Jain, “Fundamentals of Image Processing”, PHI. |
Course Information
Course Instructor
Image Processing
Theory
Various Types of Image Noise, Fundamentals of Spatial Filtering, Spatial Masks, Spatial Convolution and Correlation, Smoothing Spatial Filters, Sharpening Spatial Filters (High Pass), Combining Spatial Enhancement Methods
Background, Impulse Function and its Properties, The Fourier Transform , One Dimensional Fourier Transform, Two Dimensional Fourier Transform, One Dimensional Discrete Fourier Transform, Two Dimensional Discrete Fourier Transform, Properties of FourierTansform.
Unitary Transforms, Walsh Transform, Hadamard Transform, The Discrete Cosine Transform, Slant Transform, Optimum transform: Karhunen – Loewe (Hotelling) transform
Basis of Filtering in Frequency Domain, Smoothing Frequency Domain Filters, Sharpening Frequency Domain Filters, Laplacian Enhancement in Frequency Domain, Unsharp masking and high-boost filtering, Homomorphic Filtering
Introduction, Background, Image Pyramids, Sub-band Coding, Multiresolution Expansions, The Haar Transform, Wavelet Transforms in One Dimension, Wavelet Transforms in Two Dimensions.
Introduction, Background, Fundamentals, Coding Redundancy, Interpixel Redundancy, Psychovisual Redundancy, Fidelity Criteria, Image Compression Models.
Error-free compression, Variable-length coding, LZW (Lempel-Ziv-Welch) Coding, Bit-Plane coding, Lossless Predictive Coding,
Introduction, Transform Coding (TC), Wavelet Coding, Binary Image Compression Standards, Video Compression Standards
Introduction, Basics of Set Theory, Dilation and Erosion, Structuring Element, Opening and Closing, Hit or Miss Transformation, Morphological Algorithms.
Introduction, Registration, Segmentation
Introduction, Representation, Boundary Descriptors, Regional Descriptors, Use of Principal Components for Description.
Introduction, MATLAB Development Environment, Quantization, Point Processing, Region Processing, Image Processing.
Practical’s
MATLAB Program to apply Histogram Equalization on image
MATLAB Program for Boundary Detection
Applying DFT on image matrix & Performing the IDFT
1. IDEAL LPF 2. BUTTERWORTH LPF 3. GAUSSIAN LPF 4. IDEAL HPF 5. BUTTERWORTH HPF 6. GAUSSIAN HPF
1) Opening 2)Closing 3) Erosion 4) Dilation 5) Boundary Extraction
1. Jet Colormap Image 2. Background Estimation 3. Flattened Background Removal 4. Image Thresholding 5. Connected Region 6. Size Distribution Graph 7. Statistical Measurement
BIT PLANE SLICING
Region Filling Morphological Operation
Wavelet Analysis
Homomorphic Filtering
Matlab program for Histogram Stretching
Matlab program for Lossy Image Compression
Matlab program for Lossless Image Compression & Error Free Compression
(i) Mean and Median Filters (ii) Max-min and Min-max Filters
Matlab program for High Boost Filtering
Matlab program for Huffman Coding
Matlab program for Discrete Cosine Transform and Inverse Discrete Cosine Transform
(A) Roberts FilterPrewitt Filter (B)Sobel Filter (C)Laplacian Filter (D)Median Filter