PPT-CS448f: Image Processing For Photography and Vision

Blending and Pyramids Blending Weve aligned our images What now Averaging Weighted averaging minmaxmedian Noise reduction by Averaging 2 Shots 4 Shots 8 Shots 16 Shots Noise Reduction by Averaging. It can be said that photography was not “invented”,. b. ut that it “evolved over time”…. Writing . W. ith Light. The word photography comes from two Greek words that mean “writing with light.”. 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 . 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. 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. 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. What is Fashion Photography?. The Genre:. Many other genres of photography come under the umbrella of ‘Fashion Photography’. Editorial Photography. Advertising Photography. Beauty Photography. What Do We Need to Think About?. 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. 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. 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. 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). 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. Planning an Indian wedding photography involves meticulous attention to detail, from selecting the perfect venue to curating an exquisite menu. Amidst the flurry of preparations, choosing the right media coverage for your special day is paramount. While some opt to hire separate companies for Indian wedding photography and videography, there are numerous advantages to entrusting both aspects to a single service provider.