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Springer - Computational Intelligence for Super-Resolution

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£138.12 £124.48 £127.46 £130.43 £133.41 £136.38 £139.36 02 August 2026 16 August 2026 31 August 2026 15 September 2026 30 September 2026
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Description

This Springer publication examines the application of deep learning techniques to the complex computer vision problem of super-resolution (SR). The text provides a detailed discussion on using computational intelligence (CI) methods to address SR challenges and explores how various computer vision techniques can be used to develop and enhance related tools and processes. Designed as a valuable reference, the book covers essential application areas including biomedical engineering, healthcare, medicine, histology, and material science. It serves as a technical resource for professionals and researchers working at the intersection of AI, machine learning, and image processing.

Key Features

This Springer book explores deep learning techniques applied to the difficult computer vision problem of super-resolution.

The text discusses specific ways to apply computational intelligence (CI) methods to super-resolution tasks.

Readers can learn how different computer vision techniques develop and enhance tools and processes related to SR.

The content covers diverse application areas such as biomedical engineering, healthcare, and medicine.

Technical details include applications in specialized fields like histology and material science.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 May 2021
Listed Since
15 December 2020

Barcode

No barcode data available

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