1rep - 1 Digital Image Representations Chapter...

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1 1. Digital Image Representations Chapter 1 (Introduction) • Section 2.4 (Sampling and quantization)
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2 Elements of Image/Video Processing Applications: multimedia, medical, surveillance, TV, video conferencing, video-on-demand,. .. Acquisition: sensing and digitizing (film, CCD, digital still camera, video camera, camcorder, . ..) Storage: disks, tapes, . .. Processing: software on general- purpose or dedicated computers, hardware boards, . .. Communication: wireless, Internet, ... Display: TV monitors, slides/photos, CRT, printers, . ..
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3 – Better quality since no degradation occurs during subsequent processing – Robust to transmission noise (e.g. by using error correction codes) – Suitable for VLSI implementation – Abundant manipulating techniques available (e.g. morphing, enhancement, etc.) – Digital compression for bandwidth efficient transmission and storage (e.g. movie on a CD/DVD, using compression, the bandwidth of an analog video channel can be used for several digital video channels) – Transport over digital networks (e.g. over the Internet) Advantages of Digital over Analog
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4 Sampling f(x) x
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5 Time- Domain Frequency- Domain
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6 2-D Sampling (Spatial Domain)
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7 2-D Sampling (Frequency Domain)
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8 In many other books/papers, x-axis is in the horizontal direction. Digital Image Representation
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f(x, y): (x, y) denote the spatial coordinates. In a “digital image”, (x,y) is a discrete picture element ( pixel or pel). For a gray- scale image, f() at any point (x,y) is the brightness (or gray-level) of the image. For color images, each pixel
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This note was uploaded on 07/08/2011 for the course EE 440 taught by Professor Jenq-nenghwang during the Spring '11 term at University of Washington.

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1rep - 1 Digital Image Representations Chapter...

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