PPT-A Graph-based F ramework for Image Restoration

Author : myesha-ticknor | Published Date : 2018-11-09

Amin Kheradmand Peyman Milanfar Department of Electrical Engineering University of California Santa Cruz 1 Motivation With existing hand held cameras degradations

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A Graph-based F ramework for Image Restoration: Transcript

Amin Kheradmand Peyman Milanfar Department of Electrical Engineering University of California Santa Cruz 1 Motivation With existing hand held cameras degradations in the form of noiseblur in the captured images are inevitable. Lecture 21: Image Restoration. Recap of Phase 1. Image: acquisition, digitization. Geometric Transformations: Interpolation techniques. Image Transforms (spatial to frequency domain). Image Enhancement (spatial and frequency domain). Daniel . Zoran. Interdisciplinary Center for Neural . Computation. Hebrew University of . Jerusalem. Yair. . Weiss. School of Computer Science and . Engineering. Hebrew University of . Jerusalem. Presented by Eric Wang. Segmentation and Optical Flow. Inspiration from psychology. The Gestalt school: Grouping is key to visual perception. “The whole is greater than the sum of its parts”. http://en.wikipedia.org/wiki/Gestalt_psychology. image segmentation . V. áclav. Hlaváč. Czech . Technical. University in Prague. Faculty. . of. . Electrical. . Engineering. Department . of. . Cybernetics. Prague, Czech Republic. http://cmp.felk.cvut.cz. GraphDraw. ”. Sharan . Maiya. . – The Glasgow . Academy. Supervisor – Dr Alice Miller. 1. 2. 3. 4. Heathrow. Manchester. Birmingham. Edinburgh. Graph Theory . Graph Theory and its myriad of applications. Lecture 28: Advanced topics in Image Segmentation. Image courtesy: IEEE, IJCV. Recap of Lecture 27. Clustering based Image segmentation. Mean Shift. Kernel density estimation. Application of Mean shift: Filtering, Clustering, Segmentation. Sparsification for Graph Clustering. Peixiang Zhao. Department of Computer Science. Florida State University. zhao@cs.fsu.edu. Synopsis. Introduction. gSparsify. : Graph motif based sparsification. Cluster significance. IEEE Transaction on pattern analysis and machine intelligence, November 2006. Leo Grady, Member, IEEE. Outline. Introduction. Algorithm. Dirichlet. Problem. Behavioral Properties. Result--Demo. 2. Introduction. Key Findings: price-based ads vs image-based ads. Source: . RAMetrics. . Countries: England/Scotland. Price based – 31 ads from 27/10/2016 to 03/04/2017, image based – 30 ads from 06/10/2016 to 03/04/2017. Score base: read the newspaper.. and medical radiography. Adrian Leslie . Jannetta. Ph. D. Dissertation in 2005. Measure of Image Quality. MTF(Modulation Transfer Function) and Spatial Resolution. Point Spread Function. Signal to Noise Ratio. Varun. . Varshney. (200701085). Siddharth. . Kherada. (200702048). Restoration of Old Paintings :Crack Removal. Process Diagram:--. Crack Detection & Crack Classification:. Crack detection(top hat transform). Mahalanobis. distance. MASTERS THESIS. By: . Rahul. Suresh. COMMITTEE MEMBERS. Dr.Stan. . Birchfield. Dr.Adam. Hoover. Dr.Brian. Dean. Introduction. Related work. Background theory: . Image as a graph. Photo of Marsh (U.S. diplomat & philologist) from Wikimedia Commons; Quote from S. Kingsland (2005). Ecological Restoration. George Perkins Marsh. (1801 – 1882). Man & Nature . (1864). Contemporaneous with . Andrea . Bertozzi. University of California, Los Angeles. Diffuse interface methods. Ginzburg-Landau functional. Total variation. W is a double well potential with two minima. Total variation measures length of boundary between two constant regions..

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