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Deep Neural Networks for Image-Based Dietary Assessment
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Developments in Image Processing Using Deep Learning and Reinforcement Learning
Jorge Valente1, João António1, Carlos Mora2
1Techframe-Information Systems, SA, 2785-338 São Domingos de Rana, Portugal.
Journal of Imaging
|October 27, 2023
Summary
This survey explores artificial intelligence (AI) and machine learning (ML) for image processing. It highlights recent AI advancements and optimization solutions for complex image data challenges.
Area of Science:
- Computer Science
- Artificial Intelligence
- Image Processing
Background:
- The exponential growth of data, exceeding 180 zettabytes by 2025, presents significant challenges due to increasing volume and complexity.
- Data science tools have gained prominence for their accuracy and adaptability in handling complex datasets.
- Image data analysis is particularly challenging due to the direct correlation between image quality and data volume.
Purpose of the Study:
- To provide a comprehensive survey of recent advances in artificial intelligence (AI) design for image processing.
- To examine optimization solutions addressing the challenges of complex image data.
- To discuss current improvements, applications, and future research directions in AI for image processing.
Main Methods:
- Comprehensive literature review of artificial intelligence (AI) and machine learning (ML) techniques.
- Analysis of AI design advancements and optimization strategies specifically for image processing.
- Discussion of current applications and emerging trends in the field.
Main Results:
- Neural networks have driven significant progress in image understanding and processing.
- Various AI techniques offer solutions for handling large and complex image datasets.
- Despite advancements, substantial challenges remain in AI-driven image processing.
Conclusions:
- Artificial intelligence offers powerful tools for overcoming image processing challenges.
- Continued research is needed to address the evolving complexities of image data analysis.
- Future directions include further development of AI designs and optimization techniques for enhanced image processing capabilities.
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