
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 3
May-June 2025
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INVESTIGATION OF DEEP LEARNING FRAMEWORK TO ACCELERATE AI FOR IMAGE PROCESSING APPLICATIONS
Author(s) | Mr. T.Prasad ., Dr. V.Ganesan . |
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Country | India |
Abstract | Organizations and society at large face a significant challenge as a result of the projected increase in data generation, consumption, and storage, which is predicted to surpass 180 zettabytes by 2025. The increasing size and complexity of datasets creates new computational and theoretical challenges. Over the past 20 years, data science tools have grown in popularity in tandem with this progress due to their numerous applications in managing complicated data, high accuracy, exceptional adaptability, and flexible customization. Data analysis is more difficult when it comes to images because the amount of data that needs to be processed grows along with the desired image quality. Despite the fact that traditional machine learning (ML) methods are still widely used in a variety of academic sectors and industries, the scientific community has shown a significant amount of interest in the development of new artificial intelligence approaches. The development of neural networks has led to notable advancements in fields like image processing and comprehension. In this study, aa comprehensive research into the most recent advancements in artificial intelligence (AI) design and the optimisation methodologies that have been proposed to handle picture processing challenges was carried out by us. In spite of the fact that there have been encouraging results, there are still a great deal of challenges to be conquered in this area of research. In this study, we focus on image processing applications and discussed the key and more recent improvements, applications, and advancements that have occurred in this field. In addition to this, we offer some suggestions for potential future research in this rapidly developing topic. |
Keywords | Deep learning, artificial intelligence, and image processing, reinforcement learning |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 7, Issue 3, May-June 2025 |
Published On | 2025-05-28 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i03.45548 |
Short DOI | https://doi.org/g9mnxp |
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E-ISSN 2582-2160

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IJFMR DOI prefix is
10.36948/ijfmr
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