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. 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 . 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. 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. 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?. 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. . 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 . 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 . 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. 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..