Course Description

This course begins by introducing you to various image restoration techniques like Butterworth filters, Ideal Highpass Filters, illumination, reflectance components and other techniques. You will also learn to distinguish between a circulant matrix and a block circulant matrix. Furthermore, the course distinguishes between image enhancement and image restoration and makes it easy for the learner to swiftly understand the differences.

The course further explains the process of image formation and the degradation model involved in it. Consequently, you will learn the three techniques for estimation of the degradation model which are - observation, experimentation and mathematical modelling. Moving on, you will also learn the three degradation models for restoration techniques - inverse filtering, Wiener filtering, and constrained least square filtering approach.

Finally, you will learn about minimum square error, image registration along with the basic difference between constrained least square filtering and the Wiener filtering. Then you will be introduced to the concept of colour image processing where you will learn of the primary and secondary colours in nature, colour characteristics, chromaticity diagram, along with how a chromaticity diagram can be used to specify a colour. Start this course today, and learn valuable skills in image restoration and registration.

What you'll learn in this course?

• Image Processing

• Computer Science

• Computer Vision