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Deep Learning Technology and Image Sensing

by Sukho Lee

Research perspectives on deep learning for image and video sensing

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Hardcover New English

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AlbakiReads Editorial

Research perspectives on deep learning for image and video sensing

Gathered as a Special Issue, this volume examines deep learning-based computing in image recognition and sensing. Its scope links technical advances in object detection and autonomous driving with computer-vision applications for medical-image segmentation, low-light image enhancement, and astronomical observation. The emphasis is on accuracy, reliability, and the expanding practical roles of AI in processing visual data. With contributions from field experts, the book frames these topics as current research and emerging directions across image and video technologies, rather than as a single-purpose introductory manual.

Good fit for readers who enjoy

  • Researchers and students studying deep learning or computer vision
  • Professionals interested in image recognition and visual sensing applications
  • Readers exploring AI use in medical imaging, autonomous driving, or astronomical observation

Themes

Deep learningImage recognitionComputer visionImage and video sensingApplied artificial intelligence

Based on publisher information and book metadata.

Book overview

In this Special Issue, we explore the transformative power of deep learning-based computing technologies in improving the accuracy and reliability of image recognition systems. From advancing autonomous driving to enhancing object detection, deep learning continues to push the boundaries of what is achievable. Additionally, cutting-edge computer vision technologies enable precise medical imaging segmentation and improve image quality in challenging conditions, such as low-light environments and astronomical observations. Leading experts in the field present their latest research and innovations, offering a comprehensive view of the applications and future potential of deep learning in image and video sensing technologies. Together, we envision a future where artificial intelligence not only enhances our everyday devices but also redefines how we interact with technology and the world around us.
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