2 x 2 DRAG Devika Sarath, Shiney M. Abraham, Stephane Abraham, Aswin P. Thankachan, Dhanush M. Raj, Devika Raj Karippal Aip Conference Proceedings, 2025
Adam Bald Eagle optimization enabled transfer learning for underwater image fusion Devika Sarath, Sucharitha M Imaging Science Journal, 2024 In this paper, a clear underwater image is attained by a fusion process using Transfer Learning (TL). Two images are selected from the underwater colour image dataset and those images are allowed to Discrete Wavelet Transform (DWT), Tetrolet transform and Saliency maps. Here, the outputs gained from images by the Tetrolet transform are fused and allowed for inverse Tetrolet transform. Moreover, the DWT process done with two images is fused and the output gained is allowed for inverse DWT. Similarly, the same fusion process is carried out with image outputs from Saliency maps. Finally, three image outputs that are considered as input to TL with newly devised optimization. Here, Convolutional Neural Network (CNN) is used with hyperparameters from trained models, such as SqueezeNet and AlexNet, where weights are updated using Adam Based Bald Eagle Algorithm (ABBEA). This ABBEA is obtained by combining the Bald Eagle Search (BES) algorithm and Adam Algorithm. Further, the ABBEA has Peak Signal-to-Noise Ratio (PSNR) with maximal of 38.95, Mean Squared Error (MSE) with lesser value of 20.14, Structural Similarity Index Measure (SSIM) with maximal value of 0.92, Mutual Information (MI) with maximal value of 0.86, Signal-to-Noise Ratio (SNR) with lesser value of 0.38.
Underwater Fused Image Classification Using Deep Learning Based Resnet and Hybrid PSO + HHO Model Devika Sarath, M. Sucharitha Journal of Computer Science, 2023 In image fusion, multiple images are combined into one with minimal distortion and data loss. Image fusion forms a highly configured image with good results. The image fusion technique is employed in various domains, including remote sensing, robotics, medical applications, and underwater image processing. The focus of this study is on a unique underwater image fusion approach that allows for greater flexibility in the construction of fusion criteria. The characteristics of the input images are extracted using a Modified Tetrolet Transform (MMT), which may be employed together or independently. Our aim is to apply image deep learning algorithms such as GoogleNet, AlexNet, and ResNet for fusion to the original image and optimized algorithm PSO and HHO to be used for optimizing the fused image. Finally, the images are classified as good quality images and poor-quality images. The ResNet with hybrid HHO and PSO method has high efficiency in image fusion, according to numerical data the proposed model with good quality attains accuracy, sensitivity, specificity, precision, and F1-measure are 96.32, 94.25, 95.73, 98.34, and 95.55. in addition, the poor-quality images attain accuracy, sensitivity, specificity, precision, and F1-measure are 96.22, 94.15, 95.63, 98.24, and 95.45 This method optimizes the exposure of the dark areas, increases contrast, and preserves and enhances the edges. Our image trial findings show that this technique substantially improves the underwater image quality.
A study study on image retrieval based on tetrolet transform Abdullah Sallehhuddin, Azizi Shamsudin, Al Mansor Abu Said, Mohammad Jais, Mohd Ariff Mustafa, Md Shukor Masuod, Nor Hasmanto, Hishamuddin Ismail International Journal of Engineering and Technology Uae, 2018 Performances of mosque co-operatives rely on the effectiveness of the board of governance. The board has responsibilities to determine the strategic direction of mosque co-operatives, oversight management, and ensure the integrity of members’ rights and interests. The board of governance functions is becoming more challenging since the launching of National Co-operative Policy II (2011-2020), which among another, place greater emphasis on the expansion of mosque co-operatives movement via initiative of 1 Community, 1 Co-operative. Furthermore, the board of governance of mosque co-operatives is expected to deliver not only economic performance but also socio-economic governance, especially in supporting the activism of mosque institutions. Hence, as an initial observation, this study attempts to highlight the board governance attributes and mosque co-operatives organisational characteristics. The initial findings are essential in assisting regulator and policy maker like Ministry of Domestic Trade, Co-operative, and Consumerism (KPDNKK), Malaysia Co-operative Societies Commission (SKM), and Malaysia National Co-operative Movement (ANGKASA) in preparing the Mosque Co-operative Strategic Plan 2017-2020, and National Co-operative Policy III (2021-2030).
RECENT SCHOLAR PUBLICATIONS
Adam Bald Eagle optimization enabled transfer learning for underwater image fusion D Sarath, S M The Imaging Science Journal 72 (5), 615-630 , 2024 2024 Citations: 1
Underwater Fused Image Classification Using Deep Learning Based Resnet and Hybrid PSO + HHO Model D Sarath Journal of Computer Science , 2023 2023
Multi Sensor Underwater Image Fusion Using Modified Filter Bank Reconstruction Model D Sarath, M Sucharitha International Conference on Soft Computing and Pattern Recognition, 668-677 , 2021 2021
Fusion of Underwater Images based on Tetrolet Transform &Color Correction Algorithms D Sarath Jour of Adv Research in Dynamical & Control Systems 12 (01), 795-804 , 2019 2019
MOST CITED SCHOLAR PUBLICATIONS
Adam Bald Eagle optimization enabled transfer learning for underwater image fusion D Sarath, S M The Imaging Science Journal 72 (5), 615-630 , 2024 2024 Citations: 1
Underwater Fused Image Classification Using Deep Learning Based Resnet and Hybrid PSO + HHO Model D Sarath Journal of Computer Science , 2023 2023
Multi Sensor Underwater Image Fusion Using Modified Filter Bank Reconstruction Model D Sarath, M Sucharitha International Conference on Soft Computing and Pattern Recognition, 668-677 , 2021 2021
Fusion of Underwater Images based on Tetrolet Transform &Color Correction Algorithms D Sarath Jour of Adv Research in Dynamical & Control Systems 12 (01), 795-804 , 2019 2019
