'Color space' diaporamas de présentation

Color Management

Color Management. Are You Managing Your C O L O R ?. Presenter:. M. Rizwan Khan & Hassan Malik. Overview. Main Theory and Concepts of Color Management Workflow Software Setting up EFI ColorProof Setting Up Creo Prinergy Levels of Color Management Setting up Applications

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Face Detection

1.72k views • 133 slides

Smoothing Techniques in Image Processing

Smoothing Techniques in Image Processing. Prof. PhD. Vasile Gui Polytechnic University of Timisoara . Content. Introduction Brief review of linear operators Linear image smoothing techniques Nonlinear image smoothing techniques . Introduction. Why do we need image smoothing?

1.63k views • 59 slides

Moveable Interactive Projected Displays Using Projector Based Tracking

Moveable Interactive Projected Displays Using Projector Based Tracking. 1 Carnegie Mellon University 2 Mitsubishi Electric Research Labs 3 Georgia Tech University Seattle, WA UIST 2005. Johnny C. Lee 1,2 Scott E. Hudson 1 Jay W. Summet 3 Paul H. Dietz 2.

722 views • 46 slides

Image Compression

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What is Wavelet? ( Wavelet Analysis)

What is Wavelet? ( Wavelet Analysis). Wavelets are functions that satisfy certain mathematical requirements and are used to represent data or other functions Idea is not new--- Joseph Fourier--- 1800's Wavelet-- the scale we use to see data plays an important role

1.38k views • 36 slides

Lecture 23: Imaging, Color CAP 5415

Lecture 23: Imaging, Color CAP 5415. Working with Intensity Values. Simple Non-Linearities can have a great effect on image appearance. Working with Intensity Values. Simple Non-Linearities can have a great effect on image appearance. Working with Intensity Values.

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On Motion

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JPEG DCT Quantization

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COLOR CONSTANCY IN THE COMPRESSED DOMAIN

Jayanta Mukhopadhyay Department of Computer Science & Engineering Indian Institute of Technology, Kharagpur, 721302, India j ay@cse.iitkgp.ernet.in Sanjit K. Mitra Ming Hsieh Dept. of Electrical Engineering University of Southern California Los Angeles, CA 90089, USA s kmitra@usc.edu.

472 views • 22 slides

IP Core Design

IP Core Design. Patrick Longa. Outline. Intellectual Property (IP) Core: basics IP Core classification IP Core standardization Standard buses/interfaces for IP Cores IP Cores in the market Example with FIR Filter Compiler. IP Core: basics. Intellectual Property (IP) core:

718 views • 20 slides

Elements of Biomedical Image Processing BMI 731 Winter 2005

Elements of Biomedical Image Processing BMI 731 Winter 2005. Kun Huang Department of Biomedical Informatics Ohio State University. Introduction to imaging processing Mathematical background Convolution and Fourier transform Filtering Image enhancement Noise removal

408 views • 20 slides

GStreamer as multimedia framework in Android: a new alternative.

GStreamer as multimedia framework in Android: a new alternative. CELF Embedded Linux Conference Europe 2010 Benjamin Gaignard October 27, 2010 . Context . ST-Ericsson U671X Android platform on ARM9 @ 416 MHz with video, audio and graphics dedicated hardware accelerators.

1.26k views • 18 slides

Local Gauge Invariance and Existence of the Gauge Particles

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Color Models & Color Space

Color Models & Color Space. 5 ways of specifying colors. Color Models. RGB - mixing primary light colors CMYK - mixing primary pigment colors Indexed color - matching colors on screen to a specific color table Lab color - international standard, device independent

1.81k views • 17 slides

Traffic sign recognition with color image

Traffic sign recognition with color image. Yiming Zhang SUNY at Buffalo. Overview. Traffic sign is very important in navigation and homing We are trying to recognize the traffic signs in order to navigate the robot or vehicle. Problem.

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Learning Models for Object Recognition from Natural Language Descriptions

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Human Vision

Human Vision. CS200 Art Technology Spring 2011. The Retina. Contains two types of photoreceptors Rods Cones. Rods. More numerous than cones, some 120 million Concentrated at the outer edges of the retina More sensitive than the cones; can function in less intensive light than cones

306 views • 14 slides

Image Compression

Image Compression. Forms of data - text, numerical, image, video contain redundant elements. Data can be compressed by eliminating the redundant elements. A code is substituted for the eliminated redundant element, where the code is shorter than eliminated element.

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Fast color texture recognition using chromaticity moments

225 views • 9 slides