
Explore the fundamentals of digital image processing with topics like spatial and frequency domain enhancement, histogram processing, transforms, segmentation, and real-world applications, plus lecture notes and pop quizzes.
Learn histogram equalization by plotting the histogram, computing probabilities and the cumulative distribution, deriving modified gray levels, and drawing the equalized histogram.
Explore discrete image transforms like DFT and DCT, using transform matrices F and C on the input image f, and preview Hadamard and Walsh transforms for upcoming lessons.
Learn how the Hadamard transform and Walsh transform are constructed from 2x2, 4x4, and 8x8 matrices, including quadrant patterns and sign changes, with their relation to the DFT.
Master the eight-point fft using a butterfly diagram, detailing step-by-step additions and multiplications by minus one and minus g, with numbered parts and crossing signs.
Explore how image processing enables biometric authentication by analyzing fingerprints, face recognition, hand geometry, and iris scanning using segmentation, pattern matching, and transforms.
Image processing is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. Well, don't be overwhelmed by all those technical terms, we will help you with the fundamentals. So now are you interested to know about the field of Image Processing? Then this self-paced course is for you!
This course has been designed such that we can share our knowledge and help you learn complex theory, techniques and concepts in a simple way. It is a perfect match for all those self-taught students out there!
We will walk you into the World of Image Processing. With every tutorial you will develop new skills and improve your understanding of this field. We have provided lectures with notes and assignments to make your learning process more interactive. While preparing this course special care is taken that the concepts are presented in fun and exciting way but at the same time, we dive deep into Image Processing.
Here is a list of few of the topics we will be learning:
Image and Pixels
Image Processing model / fundamental steps
Colour Models
Image enhancement
Point Processing Operations
Neighborhood Processing
Histograms
Frequency domain
Transformations
Point, line and Edge detection
Local and global processing
Real World Applications