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Swayam Central

Image Signal Processing

By Prof. A.N. Rajagopalan   |   IIT Madras
This course spans both basics and advances in digital image processing. Starting from image formation in pin-hole and lens based cameras, it goes on to discuss geometric transformations and image homographies, a variety of unitary image transforms, several image enhancement methods, techniques for restoration of degraded images, and 3D shape recovery from images.


INTENDED AUDIENCE
Any interested learners
PREREQUISITES Digital Signal Processing. Familiarity with linear algebra and probability theory is desirable.
INDUSTRIES  SUPPORT      : Google, Amazon, Facebook, Microsoft, KLA-Tencor, Qualcomm, Intel, Analog Devices, Philips, GE, Siemens and many more.

Learners enrolled: 1617

SUMMARY

Course Status : Upcoming
Course Type : Elective
Duration : 12 weeks
Start Date : 20 Jul 2020
End Date : 09 Oct 2020
Exam Date : 18 Oct 2020
Enrollment Ends : 27 Jul 2020
Category :
  • Computer Science and Engineering
  • Biological Sciences & Bioengineering
  • Electrical, Electronics and Communications Engineering
  • Communication and Signal Processing
  • Level : Undergraduate/Postgraduate
    This is an AICTE approved FDP course

    COURSE LAYOUT

    Week 1:  Introduction to Image Processing, Basics of Imaging, Geometric Transformations
    Week 2:  Hierarchy of Transformations, Rotational Representation, Homography Computation
    Week 3:  Research Challenges Involving Camera Motion, Basics of Real Aperture Camera, Lens as LSI System
    Week 4:  Blur Kernels, Shape from X, Shape from Focus
    Week 5:  Shape from Focus, Generalized Shape from Focus, Depth from Defocus (DFD) and Motion Blur
    Week 6:  Unitary Image Transforms, From 1D to 2D Unitary Transforms, Higher Dimensional Unitary Transforms
    Week 7:  2D Unitary Transforms, 2D Discrete Fourier Transform, 2D Discrete Cosine Transform
    Week 8:  Karhunen-Loeve Transform (KLT), Applications of KLT, Singular Value Decomposition
    Week 9:  Image Enhancement, Adaptive Thresholding, K-Means Clustering, ISODATA Clustering
    Week 10: Contrast Stretching, Noise Filtering, Non-local Mean Filtering, Impulse Noise Filtering, Noise Filtering in Transform Domain, Illumination Compensation
    Week 11: Image Restoration, Ill-posed Problems, Matrix Conditioning, Matrix Numerical Stability, Inverse filter for Image Deblurring, Regularization Theory
    Week 12: Minimum Mean Square Error (MMSE) Estimator, Linear MMSE, Spatial Wiener Filter, Wiener filter in Fourier domain, Image Super-resolution, Super-resolution Examples

    BOOKS AND REFERENCES

    Digital Image Processing by Rafael Gonzalez and Richard Woods.
    The Essential Guide to Image Processing by Alan Bovik.

    INSTRUCTOR BIO

    Prof. A.N. Rajagopalan

    IIT Madras
    Dr. A.N. Rajagopalan is a Professor of Electrical Engineering at IIT Madras and specializes in the areas of Image Processing and Computer Vision. He is a Fellow of national and international academies, and Editorial Board member of flagship journals of IEEE in the above areas. He has co-authored two books.

    COURSE CERTIFICATE

    •The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
    •The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
    Date and Time of Exams: 18 October 2020, Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm. 
    •Registration url: Announcements will be made when the registration form is open for registrations.
    • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
    •Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

    CRITERIA TO GET A CERTIFICATE:
    • Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course. 
    • Exam score = 75% of the proctored certification exam score out of 100
    •Final score = Average assignment score + Exam score

    YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. 
    •If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
    • Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Madras. It will be e-verifiable at nptel.ac.in/noc.
    •Only the e-certificate will be made available. Hard copies will not be dispatched.

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