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

Custom functions for complex tasks


A function can be thought of as a black box, which produces output results when fed with proper inputs. We have already used several ready-made functions so far, but we haven't made any functions of our own. The biggest advantage of making our own functions is that we can reuse them with different inputs to produce different results, as opposed to scripts where inputs must usually be changed by altering and resaving the source code.

To begin, let's attempt to mix all the aforementioned enhancement methods in a single function that will accept the choice of method from the input. More specifically, we will make a function that will take two inputs; an image and a number. The image will be enhanced using the method denoted by the number. After opening the Editor, we type in the following code:

function [output] = ContrastEnhancement(input,method)

% Function that performs image contrast enhancement with methods
% incorporated in MATLAB toolboxes
% Inputs:
...