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{ "item_title" : "Image Compression Techniques Using MATLAB", "item_author" : [" Vivek Arya "], "item_description" : "This book is designed for the researchers and students, who want to do in-depth study and research of lossy, lossless and hybrid digital image compression techniques in very lucid manner. This book is best for the beginner of MATLAB because at the end of book there are various authentic examples are given for different operations of digital image processing like filtering, enhancement and compression. This books provides MATLAB code from easiest to toughest direction. Therefore every reader can enjoy compression techniques along with MATLAB in very easy and practical manner. It also includes in-depth explanation of various transfoms along with practical exposure.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/6/20/252/820/6202528206_b.jpg", "price_data" : { "retail_price" : "59.29", "online_price" : "59.29", "our_price" : "59.29", "club_price" : "59.29", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Image Compression Techniques Using MATLAB|Vivek Arya

Image Compression Techniques Using MATLAB

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Overview

This book is designed for the researchers and students, who want to do in-depth study and research of lossy, lossless and hybrid digital image compression techniques in very lucid manner. This book is best for the beginner of MATLAB because at the end of book there are various authentic examples are given for different operations of digital image processing like filtering, enhancement and compression. This books provides MATLAB code from easiest to toughest direction. Therefore every reader can enjoy compression techniques along with MATLAB in very easy and practical manner. It also includes in-depth explanation of various transfoms along with practical exposure.

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Details

  • ISBN-13: 9786202528207
  • ISBN-10: 6202528206
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: May 2020
  • Dimensions: 9 x 6 x 0.3 inches
  • Shipping Weight: 0.44 pounds
  • Page Count: 128

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