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 – deinterlacing with line repetition


The first method we will implement will be deinterlacing with line repetition. This method is based on repeating the odd (or even) rows of the image to fill the blank even (or odd) ones, respectively. In this example, we will replace each even line in the image with the previous odd one. Let's start:

  1. First, we load our original, interlaced image:

    >> A = imread('interlaced.bmp');  % Load interlaced image
  2. Then, we initialize with zero values a matrix of equal size to A, so that we can store the deinterlaced image, which is as follows:

    >> B = uint8(zeros(size(A)));  % Pre-allocate space for the result
  3. Next, we must perform the line repetition process, using a for loop for all rows of the image. The even rows of matrix B will be replaced by the previous odd row of matrix A, while the odd rows of both images will be equal:

    >> for i = 1:size(A,1),   % For all rows in A
    if mod(i,2) == 0,       % if i is even
    B(i,:,:) = A(i-1,:,:)...