PPT-Image Processing & Antialiasing

Part I Overview and Examples 1 56 91919 91919 IP is fundamental to both computer graphics and computer vision Has its own publications and conferences IEEE Transactions on Image Processing TIP. This controller is specifically engineered to run a standalone CDDVDBluray duplicator without additional computer or processing unit With a simple fourbutton interface and a LCD screen to display menu commands and realt ime status our CDDVDBluray Du Overview. Images. Pixel Filters. Neighborhood Filters. Dithering. Image as a Function. We can think of an . image . as a function, . f. , . f:. . R. 2. . . . R. f . (. x, y. ). . gives the . intensity. Lei Yang, Pedro V. Sander. The Hong Kong University of Science and Technology. Jason Lawrence. University of Virginia. Hugues. Hoppe. Microsoft Research. Overview. Introduction. Nonlinear filtering and edge artifacts. r. s. t. u. v. w. x. y. z. Origin. x. y. Image f (x, y). e. processed. = . v. *e + . . r. *a + . s. *b + . t. *c + . . u. *d + . w. *f + . . x. *g + . y. *h + . z. *. i. Filter. Simple 3*3. Neighbourhood. 1. Image. Rich info. from visual data. Examples of images around us. natural photographic images; . . artistic and engineering drawings. scientific images (satellite, medical, etc.). “Motion pictures” => video. Overview. What’s in the toolboxes. Learn basic techniques to use them. Using MATLAB’s built in help and demos. Setup. Log in to your machines. Start MATLAB. Open a web browser and type in:. http://tinyurl.com/uta-tut. Part II (Aliasing, Sampling, Convolution, and Filtering). Overview. Example Applications. Jaggies & Aliasing. Sampling & Duals. Convolution. Filtering. Scaling. Reconstruction. Scaling, continued. Madan Musuvathi. . Visiting Professor, UCLA . Principal Researcher, Microsoft Research. Mid-point feedback. Are you learning from the papers we are reading?. Do you find class discussions helpful?. Does preparing for the class presentation help? . Eric Rees, Clemens Kaminski, Miklos Erdelyi, Dan Metcalf, Alex Knight. Laser Analytics Group. , . University of Cambridge . & . Biotechnology Group. , . National Physical Laboratory. Contents. Introduction. . with. . Climb. Laurent Senta – Didier . Verna. LRDE. EPITA . Research. . Lab. April 30, 2012. lrde.epita.fr. Outline. Introduction. Using Climb. Developping. Climb. Going Further. Conclusion. Generic Image Processing with Climb Laurent Senta – Didier Verna LRDE EPITA Research Lab April 30, 2012 lrde.epita.fr Outline Introduction Using Climb Developping Climb Going Further Conclusion 1 INTRODUCTIONImage processing is the frequently used technique in vast areas like medical image astronomical data analysisand so on The collection of images is increased to petabytes in last few د.أمل رؤوف .  . When a beam of photons exits an object and exposes an x-ray film, it chemically changes the photosensitive silver halide crystals in the film emulsion. . These chemically altered silver bromide constitute the latent image (invisible) on the film.. Mor . soffer. Instructors: prof. Naftali . Lazarovitch. , prof. . Ofer. . Hadar. Schedule. Introduction and motivation. Our method. Data collection . Data description. Proposed method. Results and conclusions.