We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byKayden Soppe
Modified over 2 years ago
Filmrestoratin using extended ACE Jon Anders Øvern
Introduction Restoration of old film
Introduction Restoration of old film using ACE (Automatic Equilization Algorithm)
Introduction Restoration of old film using ACE (Automatic Equilization Algorithm) Form and implement extension
Introduction Restoration of old film using ACE (Automatic Equilization Algorithm) Form and implement extension Experiment and quality analysis
Film restoration Old, faded films Cannot be restored chemically Highly automated digital restoration algortithm wanted
Human Visual System Aquisition and interpretation of light Eye / vortex
Human Visual System Adaption mechanics WP GW
Color correction algorithms Algortihms mimic some properties of the HVS to improve images Global Retinex, global/local WP algorithm
ACE General properties
ACE Difference / non-linear function
ACE Weighting function
ACE Display mapping
ACE My contribution: Inter-frame considersation Non-linear mapping function to avoid edges in the image
ACE in film restoration Flickering Interframe consideration to reduce flickering
Experiment Setup / material
Experiment Results : La Rochelle
Experiment Results : Fire and Police
Experiment Results : Syntheic
Experiment Results : Non-linear mapping
Conclusion ACE extension works
Thanks to : Ivar Farup Jon Yngve Hardeberg Alessandro Rizzi Carlo Gatta
Importance of region-of-interest on image difference metrics Marius Pedersen The Norwegian Color Research Laboratory Faculty of Computer Science and Media.
Bayer Color Filter Array Demosaicing EE362/Psyc221 Yu-Yao Chang.
What is it? Color cast is a tint of a particular color, usually unwanted, which affects the whole image evenly. Certain types of light can cause film and.
Title of Presentation Author 1, Author 2, Author 3, Author 4 Abstract Introduction This is my abstract. This is my abstract. This is my abstract. This.
Matte-Based Restoration of Vintage Video 指導老師 : 張元翔 主講人員 : 鄭功運.
Introduction to Image Quality Assessment. Outline Applications Image Quality Assessment Image Quality Assessment with Reference Image -Zhou Wang.
Automatic User Interaction Correction via Multi-label Graph-cuts Antonio Hernández-Vela, Carlos Primo and Sergio Escalera Workshop on Human Interaction.
BPC: Art and Computation – Summer 2007 Digital Media - Images Glenn Bresnahan
Computer Vision Why study Computer Vision? Images and movies are everywhere Fast-growing collection of useful applications –building representations.
Feature Based Image Mosaicing Satya Prakash Mallick.
Image Perception ‘Let there be light! ‘. “Let there be light”
מערכות ראיה ושמיעה Visual and Auditory Systems. Spectrum.
Painterly Rendering for Animation Introduction speaks of focus and detail –Small brush strokes focus and provide detail –Large strokes are abstract and.
Emily Gallegos Digital Portfolio ACE: Accelerated Center for Education February 27,2015.
A fuzzy video content representation for video summarization and content-based retrieval Anastasios D. Doulamis, Nikolaos D. Doulamis, Stefanos D. Kollias.
Camerabased projector calibration, investigation of the Bala method Espen Bårdsnes Mikalsen The Norwegian Color Research Laboratory Faculty of Computer.
Lightness and Retinex Theory Journal of the Optical Society of America Vol. 61, No. 1 Jan Edwin H. Land & John J. McCann.
Colour Constancy T.W. Hung. Colour Constancy – Human A mechanism enables human to perceive constant colour of a surface over a wide range of lighting.
A Novel 2D To 3D Image Technique Based On Object- Oriented Conversion.
Nokia Research Center Color Matching of Image Sequences with Combined Gamma and Linear Corrections Yingen Xiong and Kari Pulli Download our panorama software.
A Non-Photorealistic Lighting Model For Automatic Technical Illustration Presented by: Chris Lattner April 8, 2003 CS497yzy.
AAM based Face Tracking with Temporal Matching and Face Segmentation Dalong Du.
Chapter 6 Color Image Processing Chapter 6 Color Image Processing.
IT’S NOT POLITE TO POINT: DESCRIBING PEOPLE WITH UNCERTAIN ATTRIBUTES CVPR 2013 Poster.
0 October 23, 2009 Formal Oral Presentation: FDA Hematology and Pathology Devices Panel of the Medical Devices Advisory Committee.
TVCG 2013 Sungkil Lee, Mike Sips, and Hans-Peter Seidel.
Retinex Image Enhancement Techniques --- Algorithm, Application and Advantages Prepared by: Zhixi Bian and Yan Zhang.
My Research Experience Cheng Qian. Outline 3D Reconstruction Based on Range Images Color Engineering Thermal Image Restoration.
Introduction The project presented here describes an alternative method for controlling a mouse using a laser pointer.
A New Hybrid Wireless Sensor Network Localization System Ahmed A. Ahmed, Hongchi Shi, and Yi Shang Department of Computer Science University of Missouri-Columbia.
Tota Light Kits Tota Light (x2)Tenba Case Tota Light Power Cord (x2)30” Umbrella (x2) Stand (x2)500W Tungsten Bulb (x2)
Image Enhancement. CONTENT Overview Gray Scale Modification – Mapping Equations – Histogram Modification Image Sharpening Image Smoothing.
1 Fast conversion factor measurement of a CCD using Images with vertical gradient Charge Transfer Efficiency based on The variance of the signal in flat.
Power-Saving Techniques with High Visual-Quality for Mobile Displays Dep. of Computer Science & Engineering Yuan Ze University Speaker: Chun-Han Lin National.
1 Introduction to Computer Graphics with WebGL Ed Angel Professor Emeritus of Computer Science Founding Director, Arts, Research, Technology and Science.
Graphics: Conceptual Model Real Object Human Eye Display Device Graphics System Synthetic Model Synthetic Camera Real Light Synthetic Light Source.
PSEUDO-RELEVANCE FEEDBACK FOR MULTIMEDIA RETRIEVAL Seo Seok Jun.
Exploiting Homography in Camera-Projector Systems Tal Blum Jiazhi Ou Dec 11, 2003 [Sukthankar, Stockton & Mullin. ICCV-2001]
1 Minimum Ratio Contours For Meshes Andrew Clements Hao Zhang gruvi graphics + usability + visualization.
BARCODE IDENTIFICATION BY USING WAVELET BASED ENERGY Soundararajan Ezekiel, Gary Greenwood, David Pazzaglia Computer Science Department Indiana University.
Seminar on EyeTap. Introduction What is Eye Tap EyeTap: The eye itself as display and camera History of EyeTap Principle & working of the Eyetap.
Digital Image Processing Part 2 Contrast processing.
Electronic visualization laboratory, university of illinois at chicago Camera Based Automatic Calibration for the Varrier™ System Jinghua Ge, Dan Sandin,
Maximizing Strength of Digital Watermarks Using Neural Network Presented by Bin-Cheng Tzeng 5/ Kenneth J.Davis; Kayvan Najarian International Conference.
Digital Communications Math class.
VRIXML: A User Interface Description for Virtual Environments Erwin Cuppens, Chris Raymaekers, Karin Coninx Expertise Centre for Digital Media (EDM) Limburgs.
Semantic Wordfication of Document Collections Presenter: Yingyu Wu.
R&D Forum - 22 maggio 2009 Image Processing Laboratory DEEI, University of Trieste, Italy
Fast Approximate Energy Minimization via Graph Cuts M.S. Student, Hee-Jong Hong May 29, 2013.
Speaker Min-Koo Kang March 26, 2013 Depth Enhancement Technique by Sensor Fusion: MRF-based approach.
© 2017 SlidePlayer.com Inc. All rights reserved.