2D and 3D Image Enhancement. Outlines: What is a 3D image? Relationships between 2D and 3D effects. How the enhancement works. What are the outcomes.

Slides:



Advertisements
Similar presentations
1/6 ELIS – Multimedia Lab Optimization of Automated Video Surveillance Using Multi-modal Video Analysis Viktor Slavkovikj 05/12/2012 Viktor Slavkovikj.
Advertisements

The Wonderful World of Electronic Imaging Enrichment Mini-courses Program University of Ottawa How do we see in 3D? How can we reproduce 3D images?
Lecture 2: Convolution and edge detection CS4670: Computer Vision Noah Snavely From Sandlot ScienceSandlot Science.
Image processing (spatial &frequency domain) Image processing (spatial &frequency domain) College of Science Computer Science Department
Image Enhancement in the Spatial Domain II Jen-Chang Liu, 2006.
LING 111 Teaching Demo By Tenghui Zhu Introduction to Edge Detection Image Segmentation.
Image enhancement in the spatial domain. Human vision for dummies Anatomy and physiology Wavelength Wavelength sensitivity.
Multiple People Detection and Tracking with Occlusion Presenter: Feifei Huo Supervisor: Dr. Emile A. Hendriks Dr. A. H. J. Stijn Oomes Information and.
July 20013D – LCD Yossi Appelbaum 3D – LCD Post Pc Computing
Targil 2 Image enhancement and edge detection. For both we will use image derivatives.
Introduction to Digital Image Processing and Digital Image Analysis.
10/14/2005ENEE408G Fall 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 1: Image Processing.
1 Vladimir Botchko Lecture 4. Image Enhancement Lappeenranta University of Technology (Finland)
CS443: Digital Imaging and Multimedia Filters Spring 2008 Ahmed Elgammal Dept. of Computer Science Rutgers University Spring 2008 Ahmed Elgammal Dept.
Aim: How can we measure area on ImageJ?
The ICE Tool Feng Wen Qi Yuan Kin Wah Leung. Presentation Overview  Project goal  Interactive GUI  Introduce image enhancement techniques  Integration.
02/04/2005ENEE408G Spring 2005 Multimedia Signal Processing 1 ENEE408G: Capstone Design Project: Multimedia Signal Processing Design Project 1: Image Processing.
1 Introducing the working groups for Simulation group Per Henrik Hogstad 2.
Dinesh Ganotra. each of the two eyes sees a scene from a slightly different perspective.
Digital Image Processing & Pattern Analysis (CSCE 563) Course Outline & Introduction Prof. Amr Goneid Department of Computer Science & Engineering The.
MIPACS Dental Enterprise Viewer
3D Technology in Schools Dr. Lesia Lennex Morehead State University Morehead, KY USA.
I mage is a visual representation of an object or scene or person produced on a surface. I mage is a visual representation of an object or scene or person.
1 Color Processing Introduction Color models Color image processing.
CS559: Computer Graphics Lecture 3: Digital Image Representation Li Zhang Spring 2008.
1 © 2010 Cengage Learning Engineering. All Rights Reserved. 1 Introduction to Digital Image Processing with MATLAB ® Asia Edition McAndrew ‧ Wang ‧ Tseng.
This picture was taken on the banks of Sumatra Island (the height of waves was of approx. 32 m = 105 ft). It was found saved in a digital camera, 1 ½.
By: Alex Norton Advisor: Dr. Huggins November 15, 2011
Under Supervision of Dr. Kamel A. Arram Eng. Lamiaa Said Wed
Seeram Chapter #3: Digital Imaging
CS654: Digital Image Analysis Lecture 8: Stereo Imaging.
Introduction to Image Processing Grass Sky Tree ? ? Sharpening Spatial Filters.
Introduction to Image Processing
Welcome Students Research Experience for Teachers (R.E.T.) Teachers seek out promising students from high school to connect to the engineering program.
Pillars Of FPD Growth Full HD 3D Smart TV (Internet Ready)
infinity-project.org Engineering education for today’s classroom 2 Outline How Can We Use Digital Images? A Digital Image is a Matrix Manipulating Images.
How to detect non-obvious changes Some of the following slides will illustrate how Photoshop can be used to help our eyes visualize alterations to images,
Image Processing is replacing Original Pixels by new Pixels using a Transform rst uvw xyz Origin x y Image f (x, y) e processed = v *e + r *a + s *b +
Digital Image Processing (DIP) Lecture # 5 Dr. Abdul Basit Siddiqui Assistant Professor-FURC 1FURC-BCSE7.
Lecture Eight Matlab for spatial filtering and intro to DFTs Figures from Gonzalez and Woods, Digital Image Processing, Copyright 2002, Gonzalez, Woods,
GK-12 Sensors! Matrices and Digital Pictures Part II - Matrix operations with digital pictures.
Image Processing Part II. 2 Classes of Digital Filters global filters transform each pixel uniformly according to the function regardless of its location.
Digital Image Processing, 2nd ed. © 2002 R. C. Gonzalez & R. E. Woods Chapter 1: Introduction -Produced by Bartlane cable picture.
Digtial Image Processing, Spring ECES 682 Digital Image Processing Oleh Tretiak ECE Department Drexel University.
11/29/ Image Processing. 11/29/ Systems and Software Image file formats Image processing applications.
Lecture # 19 Image Processing II. 2 Classes of Digital Filters Global filters transform each pixel uniformly according to the function regardless of.
Graphical Displays of Information
Announcements Project 0 due tomorrow night. Edge Detection Today’s readings Cipolla and Gee (handout) –supplemental: Forsyth, chapter 9Forsyth For Friday.
Ec2029 digital image processing
Digital Image Processing Lecture - 6 Autumn 2009.
Digital Image Processing Week V Thurdsak LEAUHATONG.
Using a MATLAB/Photoshop Interface to Enhance Image Processing in the Interpretation of Radar Imagery.
Digital Image: Rendering of a continuously varying scene with a finite array of picture elements, where each one has a discrete intensity or color 39.
Computer Security Course Syllabus 1 Computer Security Lecturer : H.Ben Othmen.
Free International University of Moldova Faculty of Informatics and Engineering DIGITAL SYGNALS PROCESSING Course of lectures Theme: SIGNALS CONTRAST ENHANCEMENT.
IMAGE PROCESSING is the use of computer algorithms to perform image process on digital images   It is used for filtering the image and editing the digital.
Chapter 10 Digital Signal and Image Processing
(Project) by:- ROHAN HIMANSHU ANUP 70282
Computational Thinking, Problem-solving and Programming: General Principals IB Computer Science.
IMAGE PROCESSING INTENSITY TRANSFORMATION AND SPATIAL FILTERING
APPLICATIONS OF MATRICES APPLICATION OF MATRICES IN COMPUTERS Rabab Maqsood (069)
IMAGE PROCESSING AKSHAY P S3 EC ROLL NO. 9.
Histogram Histogram is a graph that shows frequency of anything. Histograms usually have bars that represent frequency of occuring of data. Histogram has.
Chapter 8, Exploring the Digital Domain
Lecture 3. Edge Detection, Texture
Lecture 10 Image sharpening.
EEEB0765 Digital Signal Processing for Embedded Systems 8 Video and Image Processing in Embedded Systems (I) Assoc. Prof. Dr. Peerapol Yuvapoositanon.
Resolution Resolution: 6 x 4.
Image processing and computer vision
Introduction to Mathematical tools in used in DIP
Presentation transcript:

2D and 3D Image Enhancement

Outlines: What is a 3D image? Relationships between 2D and 3D effects. How the enhancement works. What are the outcomes.

What is a 3D image?

Contains two differently filtered images. Instant stereoscopic 3D effects. Appreciable Feeling of the depth. Composition of multiple 2D images with appropriate range(Disparity).

What is a 3D image? Contain two differently filtered images:

What is a 3D image? Contain two differently filtered colored images:

What is a 3D image? Appreciable Feeling of the depth (essential): -How well the image performs. Left eyeRight eye

What is a 3D image? Instant stereoscopic 3D effect on eyes: Real Situation

The relationships between 2D and 3D.

Multiple 2D images: - 3D images can be digitalized with multiple 2D images.

The relationships between 2D and 3D. Multiple 2D images: - 3D images can be digitalized with multiple 2D images.

How the enhancement works? -Mathematical approaches for enhancing images:

How the enhancement works? -Mathematical approaches for enhancing images: Histogram Equalization:

How the enhancement works? -Mathematical approaches for enhancing images: Histogram Equalization (outcome): Original(left-view)Enhanced(left-view)

How the enhancement works? -Mathematical approaches for enhancing images: Histogram Equalization (outcome): Original(right-view)Enhanced(right-view)

How the enhancement works? -Mathematical approaches for enhancing images: Image sharpening:

How the enhancement works? -Mathematical approaches on construction of the images. Image sharpening (outcome):

How the enhancement works? -Mathematical approaches on construction of the images. Edge Detection: Original ImageEdge Detected

How the enhancement works? -Mathematical approaches on construction of the images. Binocular Just-Noticeable-Difference (BJND)

How the enhancement works? -Mathematical approaches on construction of the images. Binocular Just-Noticeable-Difference (BJND) Original(left-view)Enhanced(left-view)

How the enhancement works? -Mathematical approaches on construction of the images. Binocular Just-Noticeable-Difference (BJND)  Limited noise amplitude (In one view):

How the enhancement works? -Mathematical approaches on construction of the images. Binocular Just-Noticeable-Difference (BJND)  Elevating Effect:

How the enhancement works? -Mathematical approaches on construction of the images. Binocular Just-Noticeable-Difference (BJND)  Binocular Just-Noticeable-Difference Model (BJND):

How the enhancement works? -Mathematical approaches on construction of the images. Binocular Just-Noticeable-Difference (BJND) Picture size: width:463 hight:370 left-viewright-view

How the enhancement works? -Mathematical approaches on construction of the images. Binocular Just-Noticeable-Difference (BJND) Picture size: width:463 hight:370 left-viewright-view

What are the future expectations? Develop a better solution for enhancing the quality of a 3D image (programming). -Compatibility of different 3D images. -Selection of appropriate programming tools. -Feasibility. -Ease of implementation.

Thank you! References: [1][1] Helpful Display Modes, PMG Worldwide, LLC, USA January 2000http:// [2] [2] Make Your 3D Glasses and See These Awesome 3D Images, Wonderful Engineering awesome-3d-images/, 2013http://wonderfulengineering.com/make-your-3d-glasses-and-see-these- awesome-3d-images/ [3] [3] MATLAB CENTRAL, Scale 3D matrix by 10i by-10i, 26 Jan 2014http:// by-10i [4][4] Image Enhancement, Faculty of Science and Engineering, Dr J.Li