PPT-Digital Image Processing

Author : conchita-marotz | Published Date : 2018-09-20

Image compression Introduction Image Compression It is the Art amp Science of reducing the amount of data required to represent an image It is the most useful and

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Digital Image Processing: Transcript


Image compression Introduction Image Compression It is the Art amp Science of reducing the amount of data required to represent an image It is the most useful and commercially successful technologies in the field of Digital Image Processing. Decimation or downsampling reduces the sampling rate whereas expansion or upsampling fol lowed by interpolation increases the sampling rate Some applications of multirate signal processing are Upsampling ie increasing the sampling frequency before D We have no digital cable boxes that will work on digital cable tv No digital cable box is available Digital cable descrambler and digital cable box will be available someday At this time no digital cable tv box is available Look for digital cable de Astrophotograpy. ….. My way. My camera. Why Canon?. Provides RAW files. Not directly useable as an image. “. Digital negatives”….unprocessed readout of pixels. Well suited for dark subtracting and flat fielding…. not true of Nikon. Overview. Images. Pixel Filters. Neighborhood Filters. Dithering. Image as a Function. We can think of an . image . as a function, . f. , . f:. . R. 2. . . . R. f . (. x, y. ). . gives the . intensity. Achieving balance of compliance with customer experience and opportunity. 30 September 2015. Paula Barrett. Partner. Data protection . c. ompliance . Personal data – can you spot it?. “Personal Data” means data which relate to a living individual who can be identified:. Processing & Machine Vision. By:. Dr. Rajeev Srivastava. Associate Professor, CSE, IIT(BHU), Varanasi. Fundamentals of . Digital Image Processing. • Applications of image processing. • What's an image?. r. s. t. u. v. w. x. y. z. Origin. x. y. Image f (x, y). e. processed. = . v. *e + . . r. *a + . s. *b + . t. *c + . . u. *d + . w. *f + . . x. *g + . y. *h + . z. *. i. Filter. Simple 3*3. Neighbourhood. Hel-Or . . toky@idc.ac.il . Image Processing. Spring 2010. 2. Administration. Pre-requisites / prior knowledge. Course Home Page:. http://. www1.idc.ac.il/toky/ImageProc-10. “What’s new” . Lecture slides and handouts . 22 . June . 2016. Digital Artwork. Screen Capture of Desktop. Digital Photograph (Portrait). Digital Photograph (Landscape). Digital Photograph (Still Life). Digital Photo Editing (B&W). Original Image. Monitor Bridge Behavior and Condition . Prepared by the University of New Hampshire . Department . of Civil Engineering for the . New . Hampshire Department of Transportation . How to you measure the structural health of a bridge?. 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. The relevant features for the examination task are enhanced. The irrelevant features for the examination task are removed/reduced. Here the input and output image are both digital image in color or gray scale.. 1 INTRODUCTIONImage processing is the frequently used technique in vast areas like medical image astronomical data analysisand so on The collection of images is increased to petabytes in last few ii. . Safe . access to microdata. Technical. Session . 7: . Data processing, and archiving, safe access to microdata. 1. Eloi Ouedraogo . Statistician . Agricultural Census Team. FAO Statistics Division (ESS) .

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