'Blurring' presentation slideshows

Part 2

838 views • 68 slides

Seeing the Unseeable The Mathematics of Inverse Problems

Seeing the Unseeable The Mathematics of Inverse Problems. Kurt Bryan Rose- Hulman Institute of Technology (On leave to the U.S. Air Force Academy, 2010-2011). Nondestructive Testing. The USS Independence New hull design, aluminum Small cracks are a serious problem

676 views • 57 slides

Poisson Image Editing & Terrain Synthesis

Poisson Image Editing & Terrain Synthesis. Howard Zhou Jie Sun howardz@cc.gatech.edu sun@cc.gatech.edu 2003 . 4.29. Table of Contents. Introduction / motivation Poisson Image Editing Terrain Synthesis (Texture based methods) Future work Conclusion. Table of Contents.

852 views • 47 slides

Image Deblurring

Image Deblurring. Introduction Inverse filtering Suffer from noise amplification Wiener filtering Tradeoff between image recovery and noise suppression Iterative deblurring* Landweber algorithm. Introduction. Where does blur come from? Optical blur: camera is out-of-focus

1.88k views • 35 slides

Optical Mixtures the Bezold Effect

Optical Mixtures the Bezold Effect. Bridget Riley. Optical Mixtures. Two or more colors placed next to each other to create a blending, blurring , or neutralizing effect. Blending: Two colors placed next to each other in small amounts will seem to create their mixture, Blue+red = violet.

453 views • 33 slides

Optical Mixtures the Bezold Effect

Optical Mixtures the Bezold Effect. Bridget Riley. Optical Mixtures. Two or more colors next to each other to create a blending, blurring , or neutralizing effect. Blending: Two colors placed next to each other in small amounts will seem to create their mixture, Blue+red = violet.

579 views • 30 slides

PhD course on Nuclear Microelectronics

Towards M illimeter Resolution In Time-of-Flight PET. PhD course on Nuclear Microelectronics. Luca Miari 785753. Alessandro Ruggeri 802434. Outline. Positron Emission Tomography Image Reconstruction SNR Enhancement in TOF PET Scintillators & Detectors Evolution

423 views • 29 slides

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380 views • 28 slides

CAN MATHS HELP IN THE FIGHT AGAINST CRIME?

CAN MATHS HELP IN THE FIGHT AGAINST CRIME?. Chris Budd. A crime has been committed. The police arrive in force. What challenges Do they face?. How to find out what happened How to interpret confusing data How to store a mass of data and mine it for information

328 views • 22 slides

CAN MATHS HELP IN THE FIGHT AGAINST CRIME?

CAN MATHS HELP IN THE FIGHT AGAINST CRIME?. Chris Budd. A crime has been committed. The police arrive in force. What challenges Do they face?. How to find out what happened How to interpret confusing data How to store a mass of data and mine it for information

226 views • 22 slides

Blurring and Local Blurring

Blurring and Local Blurring. ?? : ??? ???????? ?? ????? 2007/06/12. Outline. Introduction Blurring Discrete Gaussian Binomial Blurring Recursive Gaussian IIR Local Blurring. Introduction. This section describes several methods that can be applied to reduce noise on images. Blurring

340 views • 18 slides

Resident Physics Lectures

Resident Physics Lectures. Plain Film Tomography. George David Associate Professor Department of Radiology Medical College of Georgia. Body Section Tomography. Not CT Body Section Imaging Goal keep plane of interest in focus blur all other plans enhances contrast

316 views • 14 slides