'Gaussian filter' presentation slideshows

Chapter 5 Neighborhood Processing

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Frequency Filtering

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Foundations of Computer Graphics (Fall 2012)

Foundations of Computer Graphics (Fall 2012). http:// inst.eecs.berkeley.edu /~cs184. CS 184, Lectures 19: Sampling and Reconstruction . Acknowledgements: Thomas Funkhouser and Pat Hanrahan. Outline. Basic ideas of sampling, reconstruction, aliasing

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B rain I mage A nalysis U nit Biostatistics & Computing I nstitute of Psychiatry London, U . K.

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Foundations of Computer Vision

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Chap 4-2. Frequency domain processing

Chap 4-2. Frequency domain processing. Jen-Chang Liu, 2006. Extend to 2-D DFT from 1-D. 2-D DFT: 1-D DFT in horizontal then vertical. Complex Quantities to Real Quantities. Useful representation. magnitude. phase. Power spectrum. ????. ?????. (u, v) ????. DFT. Real part.

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Filtering - I

Filtering - I. Noise removal Edge Detection. Edge Detection. Edge Detection. Find edges in the image Edges are locations where intensity changes the most Edges can be used to represent a shape of an object. Edge Detection in Images. Finding the contour of objects in a scene.

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CSE 781

CSE 781. Anti-aliasing for Texture Mapping. Quality considerations. So far we just mapped one point results in bad aliasing (resampling problems) We really need to integrate over polygon Super-sampling is not a very good solution Dependent on area of integration.

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ECE 477 Simulation Project For any inquires, contact me @ mrnezhad@uwaterloo

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Gaussian Smoothing

Gaussian Smoothing. Gaussian Smoothing is the result of blurring an image by a Gaussian function. It is also known as Gaussian blur. Course Name: Digital Image Processing Level(UG/PG): UG Author(s) : Phani Swathi Chitta Mentor: Prof. Saravanan Vijayakumaran.

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A STATISTICAL EVALUATION OF TAMDAR DATA IN SHORT-RANGE MESOSCALE NUMERICAL MODELS

A STATISTICAL EVALUATION OF TAMDAR DATA IN SHORT-RANGE MESOSCALE NUMERICAL MODELS Neil A. Jacobs 1 and Yubao Liu 2 1 AirDat, LLC, Morrisville, NC 27560 2 National Center for Atmospheric Research, Boulder, CO 80307. Vertical Resolution Case Studies

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Chenlei Guo Liming Zhang Image Processing 2010

A Novel Multiresolution Spatiotemporal Saliency Detection Model and Its Applications in Image and Video Compression. Chenlei Guo Liming Zhang Image Processing 2010. Outline. Introduction Phase Spectrum of Quaternion Fourier Transform (PQFT)

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Goshi Fujimoto at MIG seminar on 16th, May

The Introduction of a Knowledge-based Approach and Statistical Methods to Make GIS-Compatible Climate Map. Daly, C. et al., 2002; Climate Research, vol. 22, 99-113. Goshi Fujimoto at MIG seminar on 16th, May. Objective.

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2-D Wavelet analyses on sinograms

2-D Wavelet analyses on sinograms. CSE 5780 Medical Imaging Florida Institute of Technology Fall 2012. FREQUENCY ANALYSIS. Frequency Spectrum Be basically the frequency components (spectral components) of that signal Show what frequencies exists in the signal Fourier Transform (FT)

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Digital Image Processing Lecture 9: Filtering in Frequency Domain

Digital Image Processing Lecture 9: Filtering in Frequency Domain. Prof. Charlene Tsai. 2-D Discrete. For an MxN matrix All 1-D properties transfer into 2-D Some more properties useful for image processing. Separability.

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Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs)

Project: IEEE P802.15 Working Group for Wireless Personal Area Networks (WPANs) Submission Title: [FSK PHY Channelization and Data Rate Proposal ] Date Submitted: [March 19th, 2013] Source: [Andy Bottomley] Company [Microsemi]

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A Spatially Adaptive Filter Reducing Arc Stripe Noise for Sector Scan Medical Ultrasound Imaging

A Spatially Adaptive Filter Reducing Arc Stripe Noise for Sector Scan Medical Ultrasound Imaging. Qianren Xu Mohamed Kamel Magdy M. A. Salama. Outline. Introduction Method Experiment Results Conclusion. Introduction. Sector scan ultrasound images usually have arc stripes;

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Image Filtering with GLSL

Image Filtering with GLSL. DI1.03 ???. Outline. Convolution Convolution implementation using GLSL Commonly used convolution filter Mean Filter Gaussian Filter Laplacian Filter Sharpness Filter. Convolution 1. Convolution

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Edge Detection

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