'Noise models' presentation slideshows

Image Restoration

Image Restoration. Digital Image Processing. Content. Introduction Image degradation/restoration model Noise models Restoration by spatial filtering Estimation of degradation functions Inverse filtering Wiener filtering Geometric transformation. Introduction.

2.07k views • 70 slides

Improving Wireless Data Transmission Speed and Reliability to Mobile Computing Platforms

Improving Wireless Data Transmission Speed and Reliability to Mobile Computing Platforms. Prof. Brian L. Evans Lead Graduate Students Aditya Chopra, Kapil Gulati and Marcel Nassar In collaboration with Keith R. Tinsley and Chaitanya Sreerama at Intel Labs.

790 views • 67 slides

Stochastic Image Denoising using Minimum Mean Squared Error (Wiener) Filtering

Stochastic Image Denoising using Minimum Mean Squared Error (Wiener) Filtering. ECEN 670 mini-conference Project Brandon Carroll Laith Sahawneh Ecen 670 Class Stochastic Processes. Outline. Introduction Theory: Wiener Filter Derivation Results & Analysis Conclusion. Introduction.

646 views • 36 slides

Switching Bilateral Filter With a Texture/Noise Detector for Universal Noise Removal

Switching Bilateral Filter With a Texture/Noise Detector for Universal Noise Removal. Chih-Hsing Lin, Jia-Shiuan Tsai, and Ching-Te Chiu Transactions on: Image Processing, IEEE Journals 2010. Outline. Introduction Sorted Quadrant Median Vector for Noise Detection Noise models

504 views • 25 slides

CAP5415 Computer Vision Spring 2003

CAP5415 Computer Vision Spring 2003. Khurram Hassan-Shafique. Edge Detection in Images. Finding the contour of objects in a scene. Edge Detection in Images. What is an object? It is one of the goals of computer vision to identify objects in scenes. Edge Detection in Images.

297 views • 19 slides

Design Automation for VLSI, MS-SOCs & Nanotechnologies Dr. Malgorzata Chrzanowska-Jeske http://web.cecs.pdx.edu/

Design Automation for VLSI, MS-SOCs & Nanotechnologies Dr. Malgorzata Chrzanowska-Jeske http://web.cecs.pdx.edu/~jeske/. f. x. P/G dstribution network. Layout. Architecture. y. y. z. z. z. Floorplan. Substrate noise. Substrate type. Package. Circuit sensitivity. Digital.

148 views • 1 slides

Adaptive filter based on LMS Algorithm used in different fields

184 views • 1 slides