Novel algorithm for multifocus image fusion: integration of convolutional neural network and partial differential equation
This paper presents a novel method for Multifocus image fusion that combines anisotropic diffusion PDE filtering and convolutional neural network (CNN) feature extraction. The proposed method aims to preserve image edges and details while reducing noise through the utilization of anisotropic diffusi...
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| Format: | Article |
| Language: | English |
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University Constantin Brancusi of Targu-Jiu
2024-04-01
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| Series: | Surveys in Mathematics and its Applications |
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| Online Access: | https://www.utgjiu.ro/math/sma/v19/p19_11.pdf |
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| author | Gargi J Trivedi Rajesh Sanghvi |
| author_facet | Gargi J Trivedi Rajesh Sanghvi |
| author_sort | Gargi J Trivedi |
| collection | DOAJ |
| description | This paper presents a novel method for Multifocus image fusion that combines anisotropic diffusion PDE filtering and convolutional neural network (CNN) feature extraction. The proposed method aims to preserve image edges and details while reducing noise through the utilization of anisotropic diffusion PDE filtering. Additionally, a CNN architecture with ReLU activation function is employed for feature extraction. The method is evaluated on a dataset of Multifocus images and compared with traditional and CNN-based approaches, demonstrating superior performance in terms of visual quality and quantitative metrics, such as Normalized Mutual Information, Phase Congruency-based metric, and Structural Similarity-based metric. Furthermore, we aim to enhance our approach by incorporating machine learning techniques to optimize the parameters of the image fusion algorithm. By automatically adjusting these parameters, we strive to achieve the most reliable and accurate outcomes. |
| format | Article |
| id | doaj-art-86d069d60a5c4e71a1c0eeed57a96daf |
| institution | Kabale University |
| issn | 1843-7265 1842-6298 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | University Constantin Brancusi of Targu-Jiu |
| record_format | Article |
| series | Surveys in Mathematics and its Applications |
| spelling | doaj-art-86d069d60a5c4e71a1c0eeed57a96daf2024-12-12T20:58:39ZengUniversity Constantin Brancusi of Targu-JiuSurveys in Mathematics and its Applications1843-72651842-62982024-04-0119 (2024)179195Novel algorithm for multifocus image fusion: integration of convolutional neural network and partial differential equationGargi J Trivedi0 Rajesh Sanghvi1The Charutar Vidyamandal University, Department of Applied Science & Humanities, G H Patel College of Engineering & Technology, Vallabh Vidhyanagar-388120, India. The Charutar Vidyamandal University, Department of Applied Science & Humanities, G H Patel College of Engineering & Technology, Vallabh Vidhyanagar-388120, India. This paper presents a novel method for Multifocus image fusion that combines anisotropic diffusion PDE filtering and convolutional neural network (CNN) feature extraction. The proposed method aims to preserve image edges and details while reducing noise through the utilization of anisotropic diffusion PDE filtering. Additionally, a CNN architecture with ReLU activation function is employed for feature extraction. The method is evaluated on a dataset of Multifocus images and compared with traditional and CNN-based approaches, demonstrating superior performance in terms of visual quality and quantitative metrics, such as Normalized Mutual Information, Phase Congruency-based metric, and Structural Similarity-based metric. Furthermore, we aim to enhance our approach by incorporating machine learning techniques to optimize the parameters of the image fusion algorithm. By automatically adjusting these parameters, we strive to achieve the most reliable and accurate outcomes. https://www.utgjiu.ro/math/sma/v19/p19_11.pdfpartial differential equation (pde)machine learning (ml)convolutional neural network (cnn)image fusion (if)multifocus images (mf) |
| spellingShingle | Gargi J Trivedi Rajesh Sanghvi Novel algorithm for multifocus image fusion: integration of convolutional neural network and partial differential equation Surveys in Mathematics and its Applications partial differential equation (pde) machine learning (ml) convolutional neural network (cnn) image fusion (if) multifocus images (mf) |
| title | Novel algorithm for multifocus image fusion: integration of convolutional neural network and partial differential equation |
| title_full | Novel algorithm for multifocus image fusion: integration of convolutional neural network and partial differential equation |
| title_fullStr | Novel algorithm for multifocus image fusion: integration of convolutional neural network and partial differential equation |
| title_full_unstemmed | Novel algorithm for multifocus image fusion: integration of convolutional neural network and partial differential equation |
| title_short | Novel algorithm for multifocus image fusion: integration of convolutional neural network and partial differential equation |
| title_sort | novel algorithm for multifocus image fusion integration of convolutional neural network and partial differential equation |
| topic | partial differential equation (pde) machine learning (ml) convolutional neural network (cnn) image fusion (if) multifocus images (mf) |
| url | https://www.utgjiu.ro/math/sma/v19/p19_11.pdf |
| work_keys_str_mv | AT gargijtrivedi novelalgorithmformultifocusimagefusionintegrationofconvolutionalneuralnetworkandpartialdifferentialequation AT rajeshsanghvi novelalgorithmformultifocusimagefusionintegrationofconvolutionalneuralnetworkandpartialdifferentialequation |