International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 4 (July-August 2025) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
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Volume 7 Issue 4
July-August 2025

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Examining a Deep Learning Framework to Speed Up AI for Applications in Image Processing

Author(s) Mr. Thyagarajan Prasad, V. Ganesan
Country India
Abstract Abstract— AI in many fields, especially image processing, has been greatly affected by the quick development of Deep Learning (DL) frameworks. In this work, the possibility of using deep learning approaches to improve AI efficiency when performing image-related tasks such object identification, segmentation, and classification is examined. Because of Convolutional Neural Networks' (CNNs) remarkable capacity for obtaining hierarchical features from visual data, we concentrate on them. By conducting thorough experiments and performance comparisons, this study explores the integration of two CNN-based architectures, ResNet50 and U-Net, into a unified framework tailored for image classification and segmentation tasks. The combined model leverages ResNet50's robust feature extraction for classification and U-Net's precise spatial mapping for segmentation, achieving high accuracy and computational efficiency. The proposed integrated model demonstrated superior performance compared to standalone deep learning architectures and conventional machine learning methods, establishing its viability for image processing tasks in practical applications. This approach underscores the potential of synergizing multiple CNN models to address complex image-based challenges in everyday scenarios.
Keywords Keywords—deep learning, AI, image processing, convolutional neural network, ResNet50, image recognition, real time image processing.
Field Engineering
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-08-10
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.51418
Short DOI https://doi.org/g9w5f4
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E-ISSN 2582-2160
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