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

Time for action – directing a threatening scene


This time we will aim at a task that is a little more difficult than the previous ones. We will try to blend two images taken at the zoo, so that we create a threatening scene. More specifically, the first picture is portraying a team of penguins, standing peacefully in their dome and the second one is portraying a polar bear, strolling in her yard more than 500 meters away. Now, what if we brought the bear closer? This would look alarming, especially if the blending process is performed correctly. Let's start by loading our pictures, as always:

  1. Our two pictures are called penguins.jpg and bears.jpg, so we will load them and display them next to each other:

    >> peng = imread('penguins.jpg');
    >> bear = imread('bear.jpg');
    >> imshowpair(peng,bear)
  2. Now, these photographs have almost nothing in common, so the prospects of mixing them don't look very good. Not all hope is lost though. The first step is to crop both pictures, aiming...