Submission Deadline: 15 November 2024 (closed) View: 887
In the realm of contemporary technology, the evolution of artificial intelligence (AI) has had a profound impact on various domains, with one of the most notable being image processing and computer vision. As the digital age continues to redefine our world, the importance of harnessing AI techniques for image analysis and interpretation becomes increasingly evident. This special issue, titled "Artificial Intelligence Emerging Trends and Sustainable Applications in Image Processing and Computer Vision," is a testament to the ever-growing significance of AI in the field, shedding light on the cutting-edge developments and innovations that are shaping the future of image processing and computer vision.
Artificial Intelligence has revolutionized the way we perceive and understand images, enabling machines to replicate human-like visual recognition and interpretation. This special issue aims to explore the latest trends, breakthroughs, and challenges in the integration of AI technologies for image processing and computer vision. By delving into the intricacies of these disciplines, we seek to offer a comprehensive perspective on how AI is redefining the boundaries of what is possible in fields like medical imaging, autonomous vehicles, surveillance, facial recognition, and beyond.
The scope of this special issue is as diverse as the applications of AI in image processing and computer vision themselves. We will delve into the methods, algorithms, and models that are propelling the field forward, as well as the ethical and societal considerations that arise with such powerful technologies. From deep learning techniques to the integration of AI with IoT devices and the challenges of interpretability and fairness, this collection of articles brings together experts and researchers from around the world to provide insights into the state-of-the-art AI solutions and the directions in which these technologies are headed.
This special issue serves as a testament to the continued growth and development of AI in these domains, and we hope that it inspires further research and collaboration to unlock the full potential of artificial intelligence for the analysis and understanding of visual data. We hope that this special issue serves as a valuable resource for researchers, practitioners, policymakers, and anyone interested in its scope.
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