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

Real-time processing of time-lapse videos


The most advantageous in the case of time-lapse videos is the frame rate of acquisition. Since we only have to acquire frames at a very low rate, we can dedicate the rest of the video acquisition time for processing the acquired frames. For instance, when we want to acquire one frame every minute like in our previous example, the frame rate is 1/1500 of the actual PAL frame rate (in a minute we acquire 1 frame instead of 25*60 in the case of a regular PAL video).

Technically, this means that we may dedicate the remaining 1499/1500 of each minute for processing our acquired frame. This usually is enough for real-time application of all kinds of processing tasks, for example, color masking, image smoothing, and so on. Ultimately, this means that the acquired video sequence can be artistically processed to achieve very interesting visual results. To demonstrate one of these results, we will now try to blend a time-lapse acquisition process with the color...