Introduction to Digital Image Processing, Summaries of Digital Image Processing

Introduction to Digital Image Processing

Typology: Summaries

2023/2024

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EENG 860 Special Topics: Digital Image Processing
Lecture 1: Introduction
Dr. Ahmadreza Baghaie
Department of Electrical and Computer Engineering
New York Institute of Technology
Spring 2020
Readings: Chapter 1, Chapter 2 (sections 2.1 to 2.4)
How to read: laid-back with pen and paper for occasional notes!
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1 / 38 EENG 860 Special Topics: Digital Image Processing

Lecture 1: Introduction

Dr. Ahmadreza Baghaie

Department of Electrical and Computer Engineering New York Institute of Technology Spring 2020 Readings: Chapter 1, Chapter 2 (sections 2.1 to 2.4) How to read: laid-back with pen and paper for occasional notes!

Table of Content โ— What is Digital Image Processing (DIP)? โ— The Origins of DIP โ— DIP Applications โ— Fundamental Steps in DIP โ— Components of a DIP System โ— Elements of Visual Perception โ— Light and the Electromagnetic Spectrum โ— Image Sensing and Acquisition โ— (^) Image Sampling and Quantization

4 / 38 What is Digital Image Processing (DIP)? โ— (^) Better categorization:

  • (^) Low-level processes: both input and output are images โ— (^) Noise reduction โ— (^) Contrast enhancement โ— (^) Image sharpening
  • (^) Mid-level processes: inputs are images, outputs are image attributes โ— (^) Segmentation โ— (^) Classification of objects
  • (^) High-level processes: โ€œmaking senseโ€ of the ensemble of recognized objects, for performing cognitive functions. โ— (^) DIP consists of processes whose inputs and outputs are images, and of processes that extract attributes from images.

The Origins of DIP โ— (^) Earliest applications of digital images were in the newspaper industry, when pictures were sent by submarine cables across the Atlantic Ocean. โ— (^) Specialized printing equipment coded pictures for transmission, then reconstructed at the receiving end. โ— (^) Early systems were coding images in five distinct levels of gray. By end of 1920s the capability increased to 15 levels.

The Origins of DIP โ— (^) Early examples of DIP dates back to Jet Propulsion Lab in 1964 for processing images of moon captured by Ranger 7. โ— (^) The invention of Computerized Axial Tomography (CAT), or Computerized Tomography (CT) in 1970s is one of the most important events in the application of DIP in medical diagnosis.

DIP Applications โ— (^) The areas of applications of DIP are numerous. โ— (^) To categorize them, letโ€™s focus on the images according to their sources.

  • (^) Electromagnetic;
  • (^) Acoustic;
  • (^) Ultrasonic;
  • (^) Electronics;
  • (^) Synthetic.

DIP Applications

DIP Applications

DIP Applications

DIP Applications Gamma X-ray Optical Infrared Radio

Fundamental Steps in DIP

  • Note 1: this is from the international version of the book. The US version is slightly different.
  • Note 2: not all sections of chapters are discussed.

Fundamental Steps in DIP

  • Note 1: this is from the international version of the book. The US version is slightly different.
  • Note 2: not all sections of chapters are discussed.

Components of a DIP System CloudCloudCloud Image displays Computer Mass storage Hardcopy Specialized image processing hardware Image sensors Problem domain Image processing software Network Cloud

Elements of Visual Perception Human Eye โ— (^) Like a sphere with a diameter of 20 mm โ— (^) Key components

  • (^) Lens & muscles
  • (^) Retina (with receptors)
  • (^) Cones in fovea. โ— (^) 6-7 millions of cone cells. โ— (^) Very sensitive to color. โ— (^) Photopic or bright-light vision.
  • (^) Rods in the rest of retina. โ— (^) 75-150 millions of rod cells. โ— (^) No color sensitivity. โ— (^) Sensitive to low-level illumination. โ— (^) Scotoptic or dim-light vision