Digital image processing - Introduction

What is an Image? (1) • A digital image is a 2D signal. • An image is a function (e.g., brightness) of two real variable a(x,y): – a: amplitude, real number or integer, – (x,y): real coordinate position. • Pixel: picture element. • Region of interest (ROI). sites.google.com/site/

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Nguyễn Công Phương DIGITAL IMAGE PROCESSING Introduction Contents I. Introduction to Image Processing & Matlab II. Image Acquisition, Types, & File I/O III. Image Arithmetic IV. Affine & Logical Operations, Distortions, & Noise in Images V. Image Transform VI. Spatial & Frequency Domain Filter Design VII. Image Restoration & Blind Deconvolution VIII. Image Compression IX. Edge Detection X. Binary Image Processing XI. Image Encryption & Watermarking XII. Image Classification & Segmentation XIII. Image – Based Object Tracking XIV. Face Recognition XV. Soft Computing in Image Processing sites.google.com/site/ncpdhbkhn 2 References [1] A. Das. Guide to Signals and Patterns in Image Processing: Foundation, Methods and Application. Springer, 2015. [2] W. K. Pratt. Introduction to Digital Image Processing. CRC Press, 2014. [3] U. Qidwai, C. H. Chen. Digital Image Processing: An Algorithmic Approach with MATLAB®. CRC Press, 2009. [4] L. P. Yaroslavsky. Theoretical Foundations of Digital Imaging using MATLAB®. CRC Press, 2013. [5] sites.google.com/site/ncpdhbkhn sites.google.com/site/ncpdhbkhn 3 Introduction 1. What is an Image? 2. Image Properties 3. Why Matlab? sites.google.com/site/ncpdhbkhn 4 What is an Image? (1) • A digital image is a 2D signal. • An image is a function (e.g., brightness) of two real variable a(x,y): – a: amplitude, real number or integer, – (x,y): real coordinate position. • Pixel: picture element. • Region of interest (ROI). sites.google.com/site/ncpdhbkhn 5 x y 0 sites.google.com/site/ncpdhbkhn 6 What is an Image? (2) Image Properties (1) • Signal – to – Noise Ratio (SNR): • Image bit resolution (or image resolution): the number of grayscale level or the number of pixels present in the image. sites.google.com/site/ncpdhbkhn 7 _ _ signal powerSNR noise power  sites.google.com/site/ncpdhbkhn 8 Image Properties (2) sites.google.com/site/ncpdhbkhn 9 Image Properties (3) Why Matlab? • Images can be treated as matrices. • Matlab is optimized for matrix operations. • So sites.google.com/site/ncpdhbkhn 10

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