PPT-Functors, Comonads, and Digital Image Processing

Justin Le Chapman University Schmid College of Science and Technology Lets talk about Filters getglassescomau The problem with filters Categories Objects Morphisms Composition      . 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. project Guitar Effects. Joshua “Rock Star” Jenkins . Jeff “Tremolo” Smith . Jairo. “the boss” Rojas. Table of contents. Typical Guitar Effects Pipeline.. Classifying Effects for guitar implementation.. 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. 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. 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 . Image compression. Introduction. Image Compression: It is the Art & 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.. Lecture . 5. DCT & Wavelets. Tammy . Riklin. Raviv. Electrical and Computer Engineering. Ben-Gurion University of the Negev. Spatial Frequency Analysis. images of naturally occurring scenes or objects (trees, rocks, . 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. 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. What is a Digital . Light Processor . Projector?. DLP, or Digital Light Processing Projector, is a display device based on optical micro-electro-mechanical technology that uses a digital micromirror device. . KK. -. Komputasi. . dan. . Kecerdasan. . Buatan. Teknik. . Komputer. Universitas. . Komputer. Indonesia-UNIKOM. John Adler. Wednesday, September 19, 2012. 1. TK 37404 . Pengolahan. Citra. Bahan.