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{ "item_title" : "Advance Study on Digital Image Processing", "item_author" : [" Shikha Tuteja "], "item_description" : "This book delves into the fundamentals and cutting-edge developments in digital image processing, beginning with core concepts such as image formulation, acquisition, enhancement, and restoration. It guides readers through the scientific principles behind digital images-how they are formed, processed, and refined for improved interpretation. With practical examples ranging from gamma-ray and X-ray imaging to color and infrared processing, the book bridges theoretical foundations with real-world applications. Emphasizing both classical techniques and modern research trends, including machine learning-based methods, this work is ideal for students, researchers, and professionals aiming to master the complexities and innovations in visual data analysis.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/99/932/954/9999329543_b.jpg", "price_data" : { "retail_price" : "45.50", "online_price" : "45.50", "our_price" : "45.50", "club_price" : "45.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advance Study on Digital Image Processing|Shikha Tuteja

Advance Study on Digital Image Processing : Modern Approaches and Research Perspectives

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Overview

This book delves into the fundamentals and cutting-edge developments in digital image processing, beginning with core concepts such as image formulation, acquisition, enhancement, and restoration. It guides readers through the scientific principles behind digital images-how they are formed, processed, and refined for improved interpretation. With practical examples ranging from gamma-ray and X-ray imaging to color and infrared processing, the book bridges theoretical foundations with real-world applications. Emphasizing both classical techniques and modern research trends, including machine learning-based methods, this work is ideal for students, researchers, and professionals aiming to master the complexities and innovations in visual data analysis.

Details

  • ISBN-13: 9789999329545
  • ISBN-10: 9999329543
  • Publisher: Eliva Press
  • Publish Date: December 2025
  • Dimensions: 9 x 6 x 0.17 inches
  • Shipping Weight: 0.27 pounds
  • Page Count: 84

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