This course begins by introducing you to the properties of Discrete Fourier Transformation and those of Fourier Transformation. You will learn how Fast Fourier Transform is implemented, understand the principle of operation of Discrete Cosine Transform(DCT) along with the fundamental difference between K-L Transform and other transformations. You will see an illustration of the rotation property of the discrete Fourier Transformation and also learn the distributive along with scaling properties of Fourier Transformation.
The course then explains image enhancement techniques and the necessity of image enhancement operations. You will learn about contrast stretching as an image enhancement technique, its importance and the reasons that may warrant its use. You will also learn about transformation techniques related to histogram-based processing where you will understand the meaning of a histogram, image averaging and image subtraction.
Next, the course explains some implementation issues surrounding histogram equalization and specification, comparing the performance of both techniques. Then, you will learn about linear smoothing operation, non-linear operations and sharpening filter. Finally, you will understand the meaning of mask processing, image averaging and the types of frequency domain techniques. Start this course today, and learn valuable skills in image enhancement and transformation.
Advantages and disadvantages
Advantages
Free to study, and short.
Completely free.
Self-paced: start any time.
Disadvantages
Certificates and diplomas are paid, and not widely recognised by employers.
Quality varies a lot between publishers; check the ratings.
The site shows many ads on the free plan.
Learning is free, but the certificate costs money.
Some points apply to every course of this kind; see how we rank.
Free to study
Free: Every module is free with an Alison account (with ads).
Certificate: Optional and paid: a digital or printed certificate or diploma.
Instructor: Prof. Gary Gensler View the complete course: https://ocw.mit.edu/15-S12F18 This course is for students wishing to explore blockchain technology’s potential use - by entrepreneurs & incumbents - to change the world of money and finance. License: Creative Commons BY-NC-SA More information…
This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performa…
This is CS50P, CS50's Introduction to Programming with Python. Register for free at https://cs50.edx.org/python. Slides and source code at https://cs50.harvard.edu/python. Playlist at https://www.youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V. An introduction to programming using a la…
This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming, for concentrators and non-concentrators alike, with or without prior programming experience. (Two thirds of CS50 students have never taken CS before.) This course teaches…
Instructor: Ana Bell View the complete course: https://ocw.mit.edu/courses/6-100l-introduction-to-cs-and-programming-using-python-fall-2022/ *Note: Lectures 6, 10 have been updated! This subject is aimed at students with little to no programming experience. It aims to provide students with an under…