How to Digitize the Natural Color

Slides:



Advertisements
Similar presentations
Photography and CS Philip Chan. Film vs Digital Camera What is the difference?
Advertisements

Motivation Spectroscopy is most important analysis tool in all natural sciences Astrophysics, chemical/material sciences, biomedicine, geophysics,… Industry.
The Generic Sensor Each photosite converts lightwave energy into photo- electrons Pixels in the output image are a measure of the number of photo-electrons.
HOW A SILICON CHIP CAPTURES AN IMAGE
CS 551 / CS 645 Antialiasing. What is a pixel? A pixel is not… –A box –A disk –A teeny tiny little light A pixel is a point –It has no dimension –It occupies.
Digital Image Forensics
Color spaces CIE - RGB space. HSV - space. CIE - XYZ space.
DIGITAL IMAGE PROCESSING CMSC 150: Lecture 14. Conventional Cameras  Entirely chemical and mechanical processes  Film: records a chemical record of.
1 Exposing Digital Forgeries in Color Array Interpolated Images Presented by: Ariel Hutterer Final Fantasy,2001My eye.
School of Computing Science Simon Fraser University
Raster Data. The Raster Data Model The Raster Data Model is used to model spatial phenomena that vary continuously over a surface and that do not have.
Digital Cameras CCD (Monochrome) RGB Color Filter Array.
Imaging Techniques in Digital Cameras Presented by Jinyun Ren Jan
Digital Images The nature and acquisition of a digital image.
The Video Camcorder By Mr. Deller Push to Start. Menu Advantages of Camcorder Disadvantages of Camcorder Basic Components Converting Light to Signals.
1 University of Palestine Faculty of Applied Engineering and Urban Planning Software Engineering Department Introduction to computer vision Chapter 2:
Digital Photography DeCal EECS98/198 Nathan Yan About this course -Technology of Camera Systems -Photographic Technique -Digital Lightroom About Me ^-doesn’t.
A critical review of the Slanted Edge method for MTF measurement of color cameras and suggested enhancements Prasanna Rangarajan Indranil Sinharoy Dr.
Image Formation. Input - Digital Images Intensity Images – encoding of light intensity Range Images – encoding of shape and distance They are both a 2-D.
By Meidika Wardana Kristi, NRP  Digital cameras used to take picture of an object requires three sensors to store the red, blue and green color.
© 1999 Rochester Institute of Technology Color. Imaging Science Workshop for Teachers ©Chester F. Carlson Center for Imaging Science at RIT Color Images.
TOPIC 4 INTRODUCTION TO MEDIA COMPUTATION: DIGITAL PICTURES Notes adapted from Introduction to Computing and Programming with Java: A Multimedia Approach.
How A Camera Works Image Sensor Shutter Mirror Lens.
Photoshop Software Rasterized, file formats, and printing choices.
Photography in Education TECH2113 Dr. Alaa Sadik Department of Instructional & Learning Technologies
Department of Computer Science & Engineering Background Subtraction Algorithm for the Intelligent Scarecrow System Francisco Blanquicet, Mentor: Dr. Dmitry.
© 1999 Rochester Institute of Technology Introduction to Digital Imaging.
1 CS6825: Digital images How are DIGITAL images created. How are DIGITAL images created. Previous lecture we discussed how ANALOG images are created Previous.
Digital Cameras And Digital Information. How a Camera works Light passes through the lens Shutter opens for an instant Film is exposed to light Film is.
Digital Image Processing Part 1 Introduction. The eye.
Computer Vision Introduction to Digital Images.
How digital cameras work The Exposure The big difference between traditional film cameras and digital cameras is how they capture the image. Instead of.
Exposing Digital Forgeries in Color Filter Array Interpolated Images By Alin C. Popescu and Hany Farid Presenting - Anat Kaspi.
Developing the Demosaicing Algorithm in GPGPU Ping Xiang Electrical engineering and computer science.
A NOVEL METHOD FOR COLOR FACE RECOGNITION USING KNN CLASSIFIER
CSCI-100 Introduction to Computing Hardware Part II.
Visual Computing Computer Vision 2 INFO410 & INFO350 S2 2015
Digitization Informatics INFO I101 January 26, 2004 John C.Paolillo.
Digital Imaging. Introduction Digital Imaging is used every day in life. Has become less expensive and easier to use than film.
Analysis on CFA Image Compression Methods Sung Hee Park Albert No EE398A Final Project 1.
Inside the Digital Camera. Digital Camera Cross Section The digital camera is a complex device The only part that is the same as film cameras is the lens.
ISAN-DSP GROUP Digital Image Fundamentals ISAN-DSP GROUP What is Digital Image Processing ? Processing of a multidimensional pictures by a digital computer.
Learning Photographic Global Tonal Adjustment with a Database of Input / Output Image Pairs.
TOPIC 4 INTRODUCTION TO MEDIA COMPUTATION: DIGITAL PICTURES Notes adapted from Introduction to Computing and Programming with Java: A Multimedia Approach.
HOW SCANNERS WORK A scanner is a device that uses a light source to electronically convert an image into binary data (0s and 1s). This binary data can.
Graphics II Image Processing I. Acknowledgement Most of this lecture note has been taken from the lecture note on Multimedia Technology course of University.
IMAGE FORGERY DETECTION Submitted by Deepika Dileep Deepika Dileep S7 IT N0:35 N0:35.
Shadow Detection in Remotely Sensed Images Based on Self-Adaptive Feature Selection Jiahang Liu, Tao Fang, and Deren Li IEEE TRANSACTIONS ON GEOSCIENCE.
Bayer Color Filter Array Demosaicing
CSE 185 Introduction to Computer Vision
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.
Digital Image Fundamentals
Unit 1 The History of Photography & The Camera
Image Processing Objectives To understand pixel based image processing
Capturing Light… in man and machine
Author : Sang Hwa Lee, Junyeong Choi, and Jong-Il Park
Digital 2D Image Basic Masaki Hayashi
A New Classification Mechanism for Retinal Images
A basic look at the mechanics
Chapter I, Digital Imaging Fundamentals: Lesson II Capture
Engineering Math Physics (EMP)
Capturing Light… in man and machine
Lecture 2 Photographs and digital mages
An Algorithm of Eye-Based Ray Tracing on MATLAB
Acquisition and display of a still color image A-Z
Visuals are analog signals...
Team Cydonia Conceptual Design Review
Presented by Mohammad Rashidujjaman Rifat Ph.D Student,
Demosaicking Problem in Digital Cameras
Presentation transcript:

How to Digitize the Natural Color Tiffany Shih, Fang-chi Lu Computer Science and Information Engineering, National Chung Cheng University, 2018 Introduction Recently, how to convert the analog signals in nature to digital signals efficiently and precisely is an important issue. In this poster, we introduce a technology, which is commonly used in cameras, camcorders, and scanners, can use RGB color model to create a color image we saw from the nature. Examples Step 2. Bayer Color Filter The interpolation algorithm for deriving the two missing color channels at each photo-site is called demosaicing. Algorithm Nearest neighbor Linear Cubic Cubic spline Step 3. Demosaicing Figure 5. The actual color Figure 4. Bayer Color Filter Figure 2. Bayer Color Filter Q: What are the R, G, B values for pixel A if nearest neighbor algorithm is applied? Materials and methods Step 1. Sampling & Quantization In order for the machine to recognize the analog signal, we use a photosensitive element to project light on a plane, divide the plane into many small squares. Each square is 1 pixel. Figure 3. Demosaicing Conclusions Bayer-filter cameras can convert the analog signals in nature to digital signals. However, it has a feature that each pixel is filtered to record only one of three colors. Demosaicing algorithms can make each pixel including part of red, green, and blue values to obtain a accuracy image. Acknowledgments We thank the textbook of Chen-Kuo Chiang professor support. A less expensive method of color detection uses an array to detect only one color component at each photosite. Interpolation is then used to derive the other two color components based on information from neighboring sites. A color filter array (CFA) is used for arranging RGB color filters on a square grid of photosensors. Twice as many green sensors as blue or red sensors. Because the human eye is more sensitive to green. Determining R or B from the center G photosite entails an average of two neighboring sites Determining B from the center R photosite entails an average of four neighboring sites diagonal from R Literature cited RGB "Bayer" Color and MicroLenses http://www.siliconimaging.com/RGB%20Bayer.htm Chen-Kuo Chiang Professor textbook Figure 1. Image Sampling & Quantization