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


In this chapter, we combined many of the methods presented so far with some new techniques, to produce results that have scientific or artistic value. Since the methods visited in this chapter involve some very complex theories for a beginner, we chose to follow a learn-by-example approach and introduced all the techniques with hands-on exercises on multispectral imaging, image compositing, HDR imagery, and panorama stitching. More specifically, this chapter covered:

  • An introductory presentation on mixing methods and their importance

  • A presentation of basic multiband image processing techniques in MATLAB

  • The basic MATLAB tools for performing image blending (imfuse and imshowpair)

  • A thorough explanation of image blending with practical and artistic examples

  • Applications of image compositing using selected areas of the images to create fiction images

  • How the notion of image blending can go further into combining many low dynamic range images to create an HDR image

  • A presentation of panorama...