EE 193 Imaging systems: Image representation + MATLAB Steven Bell - PowerPoint PPT Presentation

Mar 12, 2023 •384 likes •537 views

EE 193 Imaging systems: Image representation + MATLAB Steven Bell 12 September 2019 Image representation How should we encode brightness? 8-bit integers 16-bit integers 32-bit integers? 64-bit? fl oating point (32 bits) double-precision fl

EE 193 Imaging systems: Image representation + MATLAB Steven Bell 12 September 2019
Image representation
How should we encode brightness? 8-bit integers 16-bit integers 32-bit integers? 64-bit? fl oating point (32 bits) double-precision fl oating point (64 bits) 1-bit integers? half-precision fl oating point? (16 bits)
Which side of the screen is brighter? (or are they the same?)
(Enroth-Cugell et al. 1977, via Wandell)
(absolute intensity)
Intensity vs encoded value
γ Gamma correction When a camera captures an image, intensities are gamma-encoded: 1/ γ V = AI When you display this image, the display decodes the gamma: I = (V/A) Typical value is γ =2.3
For Tuesday Homework 1 is due in class
MATLAB demo Quick reference is on the website: http://www.ece.tufts.edu/ee/193HIP/matlab.html

Download Presentation

Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

Image formation How are objects in the world captured in Image formation an image? Matlab

Image formation How are objects in the world captured in Image formation an image? Matlab tutorial Tuesday, Sept 2 Image formation Physical parameters of image formation object film Geometric Type of projection Camera

190 views • 8 slides

Stages Stages of Imaging Systems of Imaging Systems 1: source One Possible

Goal of Imaging Systems Goal of Imaging Systems Create an image of a scene that may be measured to calculate some parameter Introduction to Astronomical Introduction to Astronomical (some quantitative information) about the

314 views • 4 slides

Introduction to Astronomical Introduction to Astronomical Imaging Systems Imaging Systems 1

Introduction to Astronomical Introduction to Astronomical Imaging Systems Imaging Systems 1 Goal of Imaging Systems Goal of Imaging Systems Create an image of a scene that may be measured to calculate some parameter (some

682 views • 24 slides

Introduction to MATLAB MATLAB: Getting Started Welcome and Goodluck 1 What is MATLAB? 2 What is

Introduction to MATLAB MATLAB: Getting Started Welcome and Goodluck 1 What is MATLAB? 2 What is available in MATLAB? 3 Why MATLAB? Syed Khaleel Ahmed 4 Where MATLAB? Dept. of Electronics and Communication Engg., Universiti Tenaga Nasional

361 views • 10 slides

Outline Introduction to MATLAB MATLAB for Image Processing Basics & Examples

2/12/2010 Outline Introduction to MATLAB MATLAB for Image Processing Basics & Examples Image Processing with MATLAB CS638-1 TA: Tuo Wang Basics & Examples B i & E l tuowang@cs.wisc.edu Feb 12 th , 2010 What

604 views • 10 slides

MATLAB for Image Processing CS638-1 TA: Tuo Wang tuowang@cs.wisc.edu Feb 12 th , 2010 Outline

MATLAB for Image Processing CS638-1 TA: Tuo Wang tuowang@cs.wisc.edu Feb 12 th , 2010 Outline Introduction to MATLAB Basics & Examples Image Processing with MATLAB Basics & Examples What is MATLAB? MATLAB =

598 views • 38 slides

Introduction to MATLAB CS534 Fall 2016 What you'll be learning today MATLAB basics

Introduction to MATLAB CS534 Fall 2016 What you'll be learning today MATLAB basics (debugging, IDE) Operators Matrix indexing Image I/O Image display, plotting A lot of demos ... Matrices What is a matrix? 5

1k views • 60 slides

Learning based MR Imaging Systems - Deployment Challenges Magnetic Resonance (MR) imaging - image

MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction Sriprabha Ramanarayanan , Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam Healthcare

491 views • 18 slides

You're given an image straight out of the camera pipeline. What techniques can you think of to

You're given an image straight out of the camera pipeline. What techniques can you think of to compress that image? (i.e., reduce the bits necessary to store it) EE 193 Imaging systems: Image compression Steven Bell 24 October 2019 Bitmap

462 views • 7 slides

Control toolbox in Matlab: General Creating linear models. System interconnections. Data

Dr. Ing. W. Wang, Dept. of Automatic Control, SJTU Introduction to Matlab Not required for final examination what is Matlab? Matlab stands for matrix laboratory MATLAB is a software or a high-performance language for technical

596 views • 3 slides

Operational Space-Based Imaging Systems REMOTE SENSING & GEOSPATIAL ANALYSIS LAB DOI: 20

Operational Space-Based Imaging Systems REMOTE SENSING & GEOSPATIAL ANALYSIS LAB DOI: 20 AUGUST, 2016 Earth Observation Systems U.S. or foreign government systems with image processing pipelines and distribution channels allowing for

287 views • 26 slides

Image Representation CS 105 Data Representation Types of data: Numbers Text

Image Representation CS 105 Data Representation Types of data: Numbers Text Audio Images & Graphics Video What is an image? Rectangular grid of pixels- 5x5 grid If we are using 1 bit per cell, how many

463 views • 22 slides

Introduction to MATLAB Chapter 1 Attaway MATLAB 4E Introduction to MATLAB Very powerful

Introduction to MATLAB Chapter 1 Attaway MATLAB 4E Introduction to MATLAB Very powerful software package Many mathematical and graphical applications Has programming constructs Also has many built-in functions Can use interactively

2k views • 29 slides

CSSE463: Image Recognition Day 2 Roll call Announcements: Reinstall Matlab if you are

CSSE463: Image Recognition Day 2 Roll call Announcements: Reinstall Matlab if you are having problems: Lab 1 has directions. Angel has drop box for Lab 1 Bonus points to first person to find errors in course materials!

320 views • 12 slides

A Brief History of Astronomical A Brief History of Astronomical Imaging Systems Imaging Systems

A Brief History of Astronomical A Brief History of Astronomical Imaging Systems Imaging Systems 1 Oldest Imaging Imaging Instruments Instruments Oldest circa 1000 CE 1600 CE Used to measure angles and positions

503 views • 36 slides

Modeling and Simulating Social Systems with MATLAB Lecture 2 Statistics and Plotting in

Modeling and Simulating Social Systems with MATLAB Lecture 2 Statistics and Plotting in MATLAB Stefano Balietti, Olivia Wolley, Dirk Helbing Computational Social Science ETH Zrich Exercise 1 Compute: 100 18 + 107 i a)

474 views • 45 slides

libv4l Hans de Goede Red Hat Contents Introduction Future (from last years presentation)

libv4l Hans de Goede Red Hat Contents Introduction Future (from last years presentation) Emulated controls When to enable? Video processing Future Introduction Fedora better webcam support feature:

966 views • 16 slides

Method for cloud flag 90 days after acquiring VIS/NIR Data No vicarious calibration within 90

Method for cloud flag 90 days after acquiring VIS/NIR Data No vicarious calibration within 90 days after launch Use on-board calibration Use method developed with MODIS data and AIRS simulated data for cloud detection (AVHRR data will

848 views • 17 slides

Color Week 5, Fri Feb 4 http://www.ugrad.cs.ubc.ca/~cs314/Vjan2005 Review: Shading Models

University of British Columbia CPSC 314 Computer Graphics Jan-Apr 2005 Tamara Munzner Color Week 5, Fri Feb 4 http://www.ugrad.cs.ubc.ca/~cs314/Vjan2005 Review: Shading Models flat shading compute Phong lighting once for entire

909 views • 52 slides

Lecture 9 - Various Welcome! , = (, ) ,

INFOMAGR Advanced Graphics Jacco Bikker - November 2017 - February 2018 Lecture 9 - Various Welcome! , = (, ) , + , , ,

999 views • 51 slides

String Matching with Variable Length Gaps By Philip Bille, Inge Li Grtz, Hjalte Wedel Vildhj

String Matching with Variable Length Gaps By Philip Bille, Inge Li Grtz, Hjalte Wedel Vildhj and David Kofoed Wind Presented by Hjalte Wedel Vildhj October 13, 2010 SPIRE 2010, Los Cabos, Mexico The Variable Length Gap Problem Given some

998 views • 57 slides

PatternClass A GAP Package for Permutation Pattern Classes Ruth Hoffmann University of St

PatternClass A GAP Package for Permutation Pattern Classes Ruth Hoffmann University of St Andrews, School of Computer Science Permutation Patterns 2012 University of Strathclyde 13th June 2012 Ruth Hoffmann PatternClass A GAP Package for

576 views • 22 slides

ATLAS12A Sensors Batch II 20 slim dice sensors type: ATLAS12A, batch: VPX12518

ATLAS12A Sensors Batch II 20 slim dice sensors type: ATLAS12A, batch: VPX12518 QMUL provided new jigs to fit our Alessi REL6100 6 probestation chuck. Sensor is held by clamps rather than vacuum Installed 1J1100 protection

435 views • 4 slides

Status CO 2 Cooling IBBelle: copy of the ALTAS IBL cooling plant for cooling of Belle II VXD (PXD

Status CO 2 Cooling IBBelle: copy of the ALTAS IBL cooling plant for cooling of Belle II VXD (PXD and SVD) 1 H.-G. Moser, BPAC, October 2017, KEK CO 2 System VXD needs 12 cooling circuits: 4 PXD, 8 SVD The CO 2 flow is split in the manifolds

323 views • 11 slides