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Course10810616884 lectures

Image Signal Processing

Prof. A. N. Rajagopalan · IIT Madras

Start with lecture 1 At NPTEL

Lectures

Week 1

  1. Course Introduction Video
  2. Applications of Image processing Video
  3. Applications of Image processing (continued) Video
  4. Basics of Images Video
  5. Shot Noise Video
  6. Geometric Transformations Video
  7. Geometric Transformations (continued) Video
  8. Bilinear Interpolation Video

Week 2

  1. Geometric Transformations (continued) Video
  2. Projective Transformation Video
  3. Homography Video
  4. Homography - Special cases Video
  5. Computing Homography Video
  6. RANSAC Video

Week 3

  1. Rotational Homography Video
  2. Research Challenges Video
  3. Real Aperture Camera Video
  4. Real aperture camera - Introduction Video
  5. Cricle of confusion Video
  6. Depth of field, Linearity Video
  7. Space-Invariance Video
  8. 2D Convolution Video

Week 4

  1. 2D Convolution Video
  2. Blur Models Video
  3. Space-variant Blurring Video
  4. Shape from X - Introduction Video
  5. 2-View Stereo Video
  6. Introduction to Shape from Focus Video
  7. SFF Principle Video

Week 5

  1. Shape from focus - Gaussian fitting Video
  2. Shape from focus- Focus operators Video
  3. Shape from Focus - Examples Video
  4. Shape from Focus - Tensor Voting Video
  5. DFD Principle Video
  6. Motion Blur Video

Week 6

  1. Image Transforms - Introduction Video
  2. Image Transforms - Motivation Video
  3. 1D Unitary Transforms - Introduction Video
  4. Extending 1D Unitary Transform to 2D - Motivation Video
  5. Extending 1D Unitary Transform to 2D - Example Video
  6. Alternative Forms of 2D Video
  7. Kronecker Product Video
  8. Kronecker Product - (Example Revisited) Video

Week 7

  1. Extending 1D Unitary Transform to 2D - Summary Video
  2. 1D DFT to 2D DFT Video
  3. 2D DFT Visualization Video
  4. 2D DFT - Computation Video
  5. 1D DCT - Definition, Motivation Video
  6. Relation to DFT Video

Week 8

  1. 2D DCT and Walsh-Haddamard Transform Video
  2. Data Dependent Transforms, Karhunen Loeve Transform Video
  3. Karhunen-Loeve Transform (KLT) - Concept Video
  4. Karhunen-Loeve Transform (KLT) - Applications Video
  5. Karhunen-Loeve Transform (KLT) - Applications Video
  6. Singular Value Decomposition (SVD) Video

Week 9

  1. Applications of SVD Video
  2. Change detection Video
  3. Image Thresholding Video
  4. Adaptive Local thresholding - Motivation Video
  5. Chow-Kaneko Local thresholding Video
  6. K-Means Method Video
  7. ISODATA Method Video

Week 10

  1. Theory of Histogram Equalization and Modification Video
  2. Histogram Equalization example Video
  3. Image sequence and Single image filtering in Gaussian noise Video
  4. Non-local Means Method Video
  5. Non-local Means Filtering (Examples) Video
  6. Impulse Noise Generator Video
  7. Impulse noise filtering Video
  8. Transform Domain Filtering Video
  9. Illumination Handling Video

Week 11

  1. Applications of Restoration, and Image Deblurring Video
  2. Haddamard's conditions and Least squares solution Video
  3. Min-norm solution and Norm of Linear operator Video
  4. Numerical stability analysis Video
  5. Image Deblurring Video
  6. Tikhonov-Miller Regularization Video

Week 12

  1. Conditional Mean as an Estimator Video
  2. Linear Estimator Video
  3. Wiener Filter Video
  4. Fourier Wiener Filter Video
  5. 1D Superresolution Video
  6. Superresolution Examples Video

Live Session

  1. Live Session 16-10-2020 Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Madras
Department
Electrical Engineering
Teacher
Prof. A. N. Rajagopalan
Level
Undergraduate
Language
English
Subjects
Engineering
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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