PPT-CS448f: Image Processing For Photography and Vision

Sharpening Sharpening Boost detail in an image without introducing noise or artifacts Undo blur due to lens aberrations slight misfocus Recall Denoising Input Signal Noise. Sharpening. Sharpening. Boost detail in an image without introducing noise or artifacts. Undo blur. due to lens aberrations. slight misfocus. Recall Denoising. Input. =. Signal. +. Noise. Tone Mapping. So far. So far. Tone Mapping. Some Images have too much dynamic range to display on a slide:. (belgium.hdr). Recall Sharpening. Input. =. Coarse +. Fine. Tone Mapping. Input. Photography creates perceptions. It stands for a message that is vital an important. Photography creates lasting memories, it captures moments that are valid and important. Photography is a balance of technique, science and art. And it is access to people and their emotions. Photography is a powerful tool that gives you opportunities to communicate in a highly emotional way. Blending and Pyramids. Blending. We’ve aligned our images. What now?. Averaging. Weighted averaging. min/max/median. Noise . reduction by Averaging. 2 Shots. 4 Shots. 8 Shots. 16 Shots. Noise Reduction by Averaging. http://www.santomarco.com/. http://michaelleadbetter.com.au/portfolio-Landscape-Photography-Brisbane.html. Landscape. http://phdavies.co.uk/2013/04/06/sylvia-plath-and-the-confessionals-of-90%E2%80%B2s-rock-pt-5/lana-del-rey-as-sylvia-plath-portrait/. By: . Georg Petschnigg Maneesh Agrawala Hugues Hoppe Richard Szeliski. Michael Cohen Kentaro Toyama,. Microsoft Corporation. Presented by. : Yael Amsterdamer. Advanced Topics in Visual Computing, Spring 2012. Lecture 1. Today:. Introductions. Course Format. Course Flavor. Low-level basic image processing. High-level algorithms from . Siggraph. Introductions and Course Format. http://cs448f.stanford.edu/. Some Background Qs. Photography Requirements. Explain how the following elements and terms affect the quality of a picture: . Light -- natural light/ambient, flash . Exposure -- aperture (f-stops), shutter speed, depth of field . 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. Tone Mapping. So far. So far. Tone Mapping. Some Images have too much dynamic range to display on a slide:. (belgium.hdr). Recall Sharpening. Input. =. Coarse . Fine. Tone Mapping. Input. Fast Filtering. Problems in Computer Vision. Computer Vision in One Slide. 1) Extract some features from some images . 2) Use these to formulate some . (hopefully linear) constraints. 3) Solve a . system of . The word photography comes from two ancient Greek words: photo, for "light," and graph, for "drawing." . "Drawing with light" is a way of describing photography. When a photograph is made, light is used to record a picture of an object or scene on a light-sensitive surface. . SYFTET. Göteborgs universitet ska skapa en modern, lättanvänd och . effektiv webbmiljö med fokus på användarnas förväntningar.. 1. ETT UNIVERSITET – EN GEMENSAM WEBB. Innehåll som är intressant för de prioriterade målgrupperna samlas på ett ställe till exempel:. Recognition Vol.7, No. 2 (2014), pp. 3 89 - 3 9 8 http://dx.d oi.org/10.14257/ijsip.2014.7. 2 . 3 6 ISSN: 2005 - 4254 IJSIP Copyright ⓒ 201 4 SERSC Extraction of Optic Cup in Retinal Fundus image