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Visual Media Processing Using MATLAB Beginner's Guide

Visual Media Processing Using MATLAB Beginner's Guide

By : George Siogkas
4.5 (2)
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Visual Media Processing Using MATLAB Beginner's Guide

Visual Media Processing Using MATLAB Beginner's Guide

4.5 (2)
By: George Siogkas

Overview of this book

Whether you want to enhance your holiday photographs or make a professional banner image for your website, you need a software tool that offers you quick and easy ways to accomplish it. All-in-one tools tend to be rare, and Matlab is one of the best available.This book is a practical guide full of step-by-step examples and exercises that will enable you to use Matlab as a powerful, complete, and versatile alternative to traditional image and video processing software.You will start off by learning the very basics of grayscale image manipulation in Matlab to master how to analyze 3-dimensional images and videos using the same tool. The methods you learn here are explained and expanded upon so that you gradually reach a more advanced level in Matlab image and video processing. You will be guided through the steps of opening, transforming, and saving images, later to be mixed with advanced masking techniques both in grayscale and in color. More advanced examples of artistic image processing are also provided, like creating panoramic photographs or HDR images. The second part of the book covers video processing techniques and guides you through the processes of creating time-lapse videos from still images, and acquiring, filtering, and saving videos in Matlab. You will learn how to use many useful functions and tools that transform Matlab from a scientific software to a powerful and complete solution for your everyday image and video processing needs.
Table of Contents (18 chapters)
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Visual Media Processing Using MATLAB Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
2
Index

Summary


This chapter gave you a rather detailed tool of two-dimensional filtering in MATLAB. The basic mathematic ideas behind image filtering were explained and practical examples were given. You got to see various techniques for using two-dimensional filtering in everyday problems such as removing noise from images, or enhancing areas that are blurred. You also learned some artistic effects caused by image filtering and practiced on ways to use them in your images. More specifically, this chapter covered:

  • An introduction to neighborhood-based operations on an image

  • An explanation of what convolution is and why it is important

  • The alternative way to perform filtering, by using correlation

  • The usage of imfilter for performing image filtering

  • How you make kernels with fspecial, for image filtering usage

  • How to blur images and why it is important

  • How to create artistic effects using blurring

  • How to remove noise using blurring

  • How to enhance edges in an image, why it is important, and how it is connected...

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Programming languages
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Visual Media Processing Using MATLAB Beginner's Guide
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