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{ "item_title" : "Advanced Digital Imaging Laboratory Using MATLAB(R)", "item_author" : [" Leonid P. Yaroslavsky "], "item_description" : "In this book, Prof. Yaroslavsky delivers a complete applied course in digital imaging aimed at advanced students and practitioners. Covering all areas of digital imaging, the text provides an outline of underlying principles of each topic before offering more than 80 MATLAB(R) based exercises. Subjects addressed embrace image digitization (discretization, quantization, compression), digital image formation and computational imaging, image resampling and building continuous image models, image and noise statistical characterization and diagnostics, statistical image models and pattern formation, image correlators for localization of objects, methods of image perfecting (denoising, deblurring), and methods of image enhancement.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/75/031/051/0750310510_b.jpg", "price_data" : { "retail_price" : "159.00", "online_price" : "159.00", "our_price" : "159.00", "club_price" : "159.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advanced Digital Imaging Laboratory Using MATLAB(R)|Leonid P. Yaroslavsky

Advanced Digital Imaging Laboratory Using MATLAB(R)

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Overview

In this book, Prof. Yaroslavsky delivers a complete applied course in digital imaging aimed at advanced students and practitioners. Covering all areas of digital imaging, the text provides an outline of underlying principles of each topic before offering more than 80 MATLAB(R) based exercises. Subjects addressed embrace image digitization (discretization, quantization, compression), digital image formation and computational imaging, image resampling and building continuous image models, image and noise statistical characterization and diagnostics, statistical image models and pattern formation, image correlators for localization of objects, methods of image perfecting (denoising, deblurring), and methods of image enhancement.

This item is Non-Returnable

Details

  • ISBN-13: 9780750310512
  • ISBN-10: 0750310510
  • Publisher: Institute of Physics Publishing
  • Publish Date: July 2014
  • Dimensions: 10 x 7 x 0.31 inches
  • Shipping Weight: 0.96 pounds
  • Page Count: 114

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