Book Image

Visual Media Processing Using MATLAB Beginner's Guide

By : George Siogkas
Book Image

Visual Media Processing Using MATLAB Beginner's Guide

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)
Visual Media Processing Using MATLAB Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


This chapter was dedicated to the presentation of color image processing techniques that build upon the grayscale methods of previous chapters. The meaning of color was explained, accompanied by an introduction to color image manipulation. Then, color image thresholding in various color channels was visited with examples, denoting the significant of a proper color channel. Several techniques for color image illumination enhancement were also presented and compared to their grayscale versions. Finally, two alternative ways for red eye reduction in photographs were developed and explained. More specifically, this chapter covered:

  • What color images are and how they can be manipulated

  • How we can manipulate color images in ways using functions, such as imrotate, imresize, and flipdim

  • How to change pixel values in all, or selected color channels

  • How we can apply color image thresholding using im2bw

  • What the steps for performing color isolation are and how we can achieve it in RGB or CIE-L*a...