PPT-CS448f: Image Processing For Photography and Vision
Author : giovanna-bartolotta | Published Date : 2015-11-09
Tone Mapping So far So far Tone Mapping Some Images have too much dynamic range to display on a slide belgiumhdr Recall Sharpening Input Coarse Fine Tone Mapping
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CS448f: Image Processing For Photography and Vision: Transcript
Tone Mapping So far So far Tone Mapping Some Images have too much dynamic range to display on a slide belgiumhdr Recall Sharpening Input Coarse Fine Tone Mapping Input. 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. 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. Graph Cuts. Seam Carving. Video. Make images smaller by removing “seams”. Seam = connected path of pixels . from top to bottom. or left edge to right edge. Don’t want to remove important stuff. The History of Photography. Depending on what you consider a camera or photograph to be, photography can date back either a few hundred years or much longer than that. . Anyway you slice it, the history of photography is filled with interesting tales and is quite dramatic. . 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. 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. Fast Filtering Continued. Filtering by . Resampling. This looks like we just zoomed a small image. Can we filter by . downsampling. then . upsampling. ?. Filtering by Resampling. Filtering by Resampling. 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. Matthew Brady. Check out some Mathew Brady photos of the Civil War. Look through them and discuss what you see.. Aboard a U.S. Navy Warship during the Civil War. By U.S. Navy photo . Union Soldier By Matthew Brady (Copy of original photo taken 150 years ago). . 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:. Divya Spandana . Marneni. Agenda. What is Big Data. Big Data and image processing. Why to analyze big images. Complexity involved in processing. Hadoop Image processing framework. Image Retrieval in big data. 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 Dawn of photography. Photography’s announcement in 1839 greeted by great enthusiasm.. It was a reflection of the beginning of the machine age.. Dawn of photography. Goal of art at this time was realism..
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