PPT-Deblurring with a scale-space approach

Gaussian degradation occurs in a large number of situations the pointspreadfunction of the human lens eg has a close to Gaussian shape for a 3 mm pupil is about 2 minutes of arc . cuhkeduhk Abstract We discuss a few new motion deblurring problems that are signi64257cant to kernel estimation and nonblind deconvolution We found that strong edges do not always pro64257t kernel estimation but instead under certain circumstance deg cuhkeduhk Abstract We discuss a few new motion deblurring problems that are signi64257cant to kernel estimation and nonblind deconvolution We found that strong edges do not always pro64257t kernel estimation but instead under certain circumstance deg Blurring an Image Matlab has a command fspecial for generating different types of blur kernels The command imfilter can then be used to blur the image with this kernel it is equivalent t o a 2D convolution The code below blurs the cameraman image wi 1 Scale space parameters 2 22 Detector parameters 3 23 Descriptor parameters 3 24 Direct access to SIFT components Kokaram. Co-Supervisor: . Dr.. David . Corrigan. Student: Yun . feng. Wang. Deblurring. in . Atomic Force Microscopy (AFM) . images. Project Description. SFI project: collaboration with . Nanoscale. By. Chi . Bemieh. . Fule. August 6, 2013. THESIS PRESENTATION . Outline. . of. . today’s. presentation. Justification of the study. Problem . statement. Hypotheses. Conceptual. . framework. Research . Raw Scale Raw Scale Raw Scale Raw Scale Score Score Score Score Score Score Score Score 86 100 64 80 42 66 20 42 85 98 63 79 41 66 19 41 84 97 62 79 40 65 18 39 83 95 61 78 39 64 17 38 82 94 60 77 38 0. Representation. for Natural Image Deblurring. Speaker: Wei-Sheng Lai. Date: 2013/04/26. Outline. Introduction. Related work. L. 0. Deblurring. Conclusion. 2. 1. Introduction. Form . of image blur :. Less chemistry. More p. hysics . of location, location, location. Latest world-class nickel deposit. w. as found in Canada by diamond explorers. Voisey’s. Bay, . Canada. Photograph. : Data . Metallogenica. Wenting . Wang. Le Xu. Indranil Gupta. Department of Computer Science, University of Illinois, Urbana Champaign . 1. Scale up VS. Scale out. A dilemma for cloud application users: scale up or scale out? . All scale drawings . must . have a scale written on them. Scales are usually expressed as ratios.. Normally for maps and buildings the ratio:. Drawing length: Actual length. For maps the ratio is normally in the ratio:. 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 noise/blur in the captured images are inevitable.. Image Alignment, Optical Flow. Lectures . 5 . & . 6. . – Prof. . Fergus. Slides from: S. Lazebnik, S. Seitz, M. Pollefeys, A. Effros. . Panoramas. Facebook 360 photos. How do we build panorama?. Skye Cooley, Ph.D. Oklahoma State University. Randy . Kluver. , Dean, Oklahoma State University. Ethan Stokes, Ph.D. University of Alabama. Overview. The Importance of Narrative and Story. Method. The Russian Story of Outer Space.