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.”. Denoising. How goes the assignment?. The course so . far…. We have a fair idea what image processing code looks like. We know how to treat an image as a continuous function. We know how to warp images. 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. 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. . 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. Jessica Seth. Pinhole Camera. A pinhole camera is a camera without a lens. It is made out of a light-proof box, usually black with one small hole on one side of the box. On the opposite side of the hole, you place photograph paper where an image can be projected on. Light passes through the hole and enters the box and projects an image of the scene on the photograph paper on the opposite side on of the box. . 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. 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. 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. 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. 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.