PPT-Digital Image Processing

ECE 480 Technical Lecture Team 4 Bryan Blancke Mark Heller Jeremy Martin Daniel Kim arapapaendParaRPr langen sz1550 b0 i0 unone strikenoStrike capnone baseline0 dirty0asolidFillaschemeClr valdk2asolidFillalatin typefaceSource Sans Proaea typefaceSource Sans Proacs typefaceSource Sans Proasym typefaceSource Sans ProaendParaRPrapapaendParaRPr langen sz1550 b0 i0 unone strikenoStrike capnone baseline0 dirty0asolidFillaschemeClr valdk2asolidFillalatin typefaceSource Sans Proaea typefaceSource Sans Proacs typefaceSource Sans Proasym typefaceSource Sans ProaendParaRPrapapaendParaRPr langen sz1550 b0 i0 unone strikenoStrike capnone baseline0 dirty0asolidFillaschemeClr valdk2asolidFillalatin typefaceSource Sans Proaea typefaceSource Sans Proacs typefaceSource Sans Proasym typefaceSource Sans ProaendParaRPrapapaendParaRPr langen sz1550 b0 i0 unone strikenoStrike capnone baseline0 dirty0asolidFillaschemeClr valdk2asolidFillalatin typefaceSource Sans Proaea typefaceSource Sans Proacs typefaceSource Sans Proasym typefaceSource Sans ProaendParaRPrapapaendParaRPr langen sz1550 b0 i0 unone strikenoStrike capnone baseline0 dirty0asolidFillaschemeClr valdk2asolidFillalatin typefaceSource Sans Proaea typefaceSource Sans Proacs typefaceSource Sans Proasym typefaceSource Sans ProaendParaRPrapapapPr marL0 marR0 lvl0 indent0 algnl rtl0aspcBefaspcPts val560aspcBefaspcAftaspcPts val0aspcAftabuClraschemeClr valaccent1abuClrabuSzPct val25000abuFont typefaceSource Sans ProabuNoneapPrararPr langen sz2400 b0 i0 unone strikenoStrike capnone baseline0 dirty0asolidFillaschemeClr valdk2asolidFillalatin typefaceSource Sans Proaea typefaceSource Sans Proacs typefaceSource Sans Proasym typefaceSource Sans ProarPr. Our vision is to empower our users the way technology was meant to be used.  Wolverine Data products empower our customers to effortlessly safeguard and expand data storage.  Our focus is to simplify how people can backup, capture and share critical information, treasured movies, photographs and music.  Lightning-fast connectivity and sleek, rugged design enable mobility among office and portable computers, and ensure dazzling presentations. 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 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. Pumice Depth Below . Water . as a Function of Time. Behnaz. Hosseini. Havre, MESH . and Pumice Experiments. P. umice deposits from 2012 . Kermadec. Islands submarine eruption north of New Zealand. Havre caldera samples collected by MESH team using remotely operated vehicle Jason. Federica Caselli. . Department of Civil Engineering University . of Rome Tor . Vergata. Corso. . di. . Modellazione. e . Simulazione. . di. . Sistemi. . Fisiologici. Medical Imaging. X-Ray. CT. 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. take notes in your journal. Monitors. Small LCD displays built into most cameras. Menus are displayed on monitor. Compose your . image on a monitor. Review images on the monitor. Drains battery when monitor is on. 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?. Mohammadhossein . Behgam. Agenda. Need for parallelism. Challenges. Image processing algorithms. Data handling & Load Balancing. Communication cost & performance. What is the problem?. Image Processing applications can be very computationally demanding due to:. 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 adjusts its coefficients . to adapt input signal . via an adaptive algorithm. .. Applications:. Signal enhancement. Active noise control. Noise cancellation. Telephone echo cancellation. 1. Text: Digital Signal Processing by Li Tan, Chapter 10.