| _version_ | 1866901483270701056 |
|---|---|
| author | Mr ANIL KUMAR KOONA Dr HARPREET KAUR Dr DUSTAKAR SURENDRA RAO |
| author_facet | Mr ANIL KUMAR KOONA Dr HARPREET KAUR Dr DUSTAKAR SURENDRA RAO |
| contents | <div> <p><span lang="EN-US">This book explores the integration of big data technologies and digital image processing across a wide range of real-world applications. It provides readers with a comprehensive understanding of the techniques, tools, and methodologies used in modern image processing and large-scale data management through machine learning. The content is designed to help readers appreciate both the theoretical foundations and practical significance of these rapidly evolving technologies.</span></p> <p><span lang="EN-US">Students, researchers, and professionals from diverse fields such as engineering, agriculture, medical imaging, and applied sciences will find this book highly beneficial. In today’s technology-driven era, the ability to understand and critically evaluate advanced digital imaging techniques is essential. This book addresses that need by presenting clear explanations, real-world applications, and contemporary research insights.</span></p> <p><span lang="EN-US">Key topics covered in this book include modern digital camera systems and imaging devices that rely on sub-pattern and bare-pattern color sampling, highlighting the need for innovative color interpolation methods to achieve accurate full-color representation. It also discusses the importance of standardized image compression techniques to support a wide range of applications and platforms.</span></p> <p><span lang="EN-US">The book further examines the role of remote sensing in fields such as agriculture, urban planning, healthcare, traffic management, education, innovation, and data-driven analysis. Both soft computing and hard computing techniques are discussed in detail, with a focus on their relevance to major image processing challenges.</span></p> <p><span lang="EN-US">In addition, the book presents current and emerging research trends across various domains of image processing, along with an extensive list of references to encourage further exploration. By combining classical approaches with state-of-the-art techniques, this book offers a balanced perspective on the evolution of image processing and data science.</span></p> <p><span lang="EN-US">Serving as both an instructional guide and a reference resource, <em><strong>Innovations in Digital Image Processing</strong></em> is suitable for beginners as well as experienced practitioners in the fields of image analysis and data science.</span></p> <p><strong><em><span lang="EN-US">-Authors</span></em></strong></p> </div> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18504514 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | INNOVATIONS IN DIGITAL IMAGE PROCESSING Mr ANIL KUMAR KOONA Dr HARPREET KAUR Dr DUSTAKAR SURENDRA RAO <div> <p><span lang="EN-US">This book explores the integration of big data technologies and digital image processing across a wide range of real-world applications. It provides readers with a comprehensive understanding of the techniques, tools, and methodologies used in modern image processing and large-scale data management through machine learning. The content is designed to help readers appreciate both the theoretical foundations and practical significance of these rapidly evolving technologies.</span></p> <p><span lang="EN-US">Students, researchers, and professionals from diverse fields such as engineering, agriculture, medical imaging, and applied sciences will find this book highly beneficial. In today’s technology-driven era, the ability to understand and critically evaluate advanced digital imaging techniques is essential. This book addresses that need by presenting clear explanations, real-world applications, and contemporary research insights.</span></p> <p><span lang="EN-US">Key topics covered in this book include modern digital camera systems and imaging devices that rely on sub-pattern and bare-pattern color sampling, highlighting the need for innovative color interpolation methods to achieve accurate full-color representation. It also discusses the importance of standardized image compression techniques to support a wide range of applications and platforms.</span></p> <p><span lang="EN-US">The book further examines the role of remote sensing in fields such as agriculture, urban planning, healthcare, traffic management, education, innovation, and data-driven analysis. Both soft computing and hard computing techniques are discussed in detail, with a focus on their relevance to major image processing challenges.</span></p> <p><span lang="EN-US">In addition, the book presents current and emerging research trends across various domains of image processing, along with an extensive list of references to encourage further exploration. By combining classical approaches with state-of-the-art techniques, this book offers a balanced perspective on the evolution of image processing and data science.</span></p> <p><span lang="EN-US">Serving as both an instructional guide and a reference resource, <em><strong>Innovations in Digital Image Processing</strong></em> is suitable for beginners as well as experienced practitioners in the fields of image analysis and data science.</span></p> <p><strong><em><span lang="EN-US">-Authors</span></em></strong></p> </div> <p> </p> |
| title | INNOVATIONS IN DIGITAL IMAGE PROCESSING |
| url | https://doi.org/10.5281/zenodo.18504514 |