PPT-Image upsampling via Imposed Edge Statistics

Raanan Fattal ACM Siggraph 2007 Presenter 이성호 Previous work Classical approach NearestNeighbor Bilinear Bicubic Hann Hamming and Lanczos interpolation kernels. Alex Wade. CAP6938 Final Project. Introduction. GPU based implementation of . A Computational Approach to Edge Detection. by John Canny. Paper presents an accurate, localized edge detection method. Purpose. CSE . 576. Ali Farhadi. Many slides from Steve Seitz and Larry . Zitnick. Edge. Attneave's. Cat (1954) . Edges are caused by a variety of factors. depth discontinuity. surface color discontinuity. illumination discontinuity. Winter in . Kraków. photographed by . Marcin. . Ryczek. Edge detection. Goal: . Identify sudden changes (discontinuities) in an image. Intuitively, most semantic and shape information from the image can be encoded in the edges. Goal: . Identify sudden changes (discontinuities) in an image. Intuitively, most semantic and shape information from the image can be encoded in the edges. More compact than pixels. Ideal:. artist’s line drawing (but artist is also using object-level knowledge). Refocusing and Defocusing. Wei Zhang, . Nember. , IEEE, and . Wai-Kuen. Cham, Senior Member, IEEE. Outline. Introdution. Background And Problem . Fomulation. Edge-Based Focus-Map Estimation. Image Refocusing By Blind . Prasanna. . Rangarajan. Indranil. . Sinharoy. Dr. Marc . P. . Christensen. Dr. . . Predrag. . Milojkovic. Department of Electrical Engineering . Southern Methodist University. Dallas, Texas 75275-0338, USA. @ . Takuki. Nakagawa, . Department of Electronic Engineering The University of Tokyo, Japan and . Tadashi Shibata, . Department of Electrical Engineering and Information Systems The University of Tokyo, Japan . . with Augmented. . Streaming. Dawid. . Pająk. , Robert Herzog, . Elmar. . Eisemann. , Karol . Myszkowski. , Hans-Peter Seidel. Motivation. Service oriented. Hardware and location independent computing. Winter in . Kraków. photographed by . Marcin. . Ryczek. Edge detection. Goal: . Identify sudden changes (discontinuities) in an image. Intuitively, most semantic and shape information from the image can be encoded in the edges. Alex Wade. CAP6938 Final Project. Introduction. GPU based implementation of . A Computational Approach to Edge Detection. by John Canny. Paper presents an accurate, localized edge detection method. Purpose. Prasanna. . Rangarajan. Indranil. . Sinharoy. Dr. Marc . P. . Christensen. Dr. . . Predrag. . Milojkovic. Department of Electrical Engineering . Southern Methodist University. Dallas, Texas 75275-0338, USA. Outline. Contour drawing in art. S. il. h. o. uette. . / outline. Definition of outlines. Image space. Object space. Image space methods. Edge detection. First order methods. Second order methods. Edge. Edge. Attneave's. Cat (1954) . 2. Edges are caused by a variety of . factors.. depth discontinuity. surface color discontinuity. illumination discontinuity. surface normal discontinuity. Origin of edges. . Edge Detection. Consider this picture. We would like its output to be. So, to repeat: The purpose of Edge Detection is to find jumps in the brightness function (of an image) and mark them. . Before we get into details, we need to detour.