A derived mathematical MAC-generative network for restoration and detection of images
Divya Sharmadivya.sharma.orp@chitkara.edu.inDepartment of Computer Applications Manipal University JaipurCentre of Research Impact and Outcome Chitkara UniversityRajpura, Punjab, 140417, IndiaView full profile → , *Shilpa SharmaCorresponding authorshilpa.sharma@jaipur.manipal.eduDepartment of Computer Applications Manipal University JaipurDepartment of Computer Applications Manipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , Vaibhav Bhatnagarvaibhav.bhatnagar15@gmail.comDepartment of Computer Applications Manipal University JaipurJaipur, Rajasthan, 303007, IndiaView full profile → , Harshal Patilpharshal2288@gmail.comDepartment of Computer Science and Engineering Balaji Institute of Technology & Management (BITM) Sri Balaji UniversityPune, Maharashtra, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 26 Jun 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-1980
- Pages:
- 1259–1270
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References
[1] Agarwal, Parul, et al. “Implementing ALPR for detection of traffic violations: a step towards sustainability.” Procedia Computer Science 132 : 738-743 (2018).
[2] kumar, Ashutosh, et al. “Deep learning based highway vehicles detection and counting system using computer vision” Journal of Information and Optimization Sciences, 44:5, 997–1008
[3] Silva, Sergio Montazzolli, and Claudio Rosito Jung. ”License plate detection and recognition in unconstrained scenarios.” Proceedings of the European conference on computer vision (ECCV) (2018).
[4] He, Kaiming, Jian Sun, and Xiaoou Tang. “Single image haze removal using dark channel prior.” IEEE transactions on pattern analysis and machine intelligence 33.12 : 2341-2353 (2010).
[5] Tan, Robby T. “Visibility in bad weather from a single image.” 2008 IEEE conference on computer vision and pattern recognition. IEEE, (2008).
[6] Liu, Zheng, et al. “Single image dehazing with a generic model-agnostic convolutional neural network.” IEEE Signal Processing Letters 26.6 : 833-837 (2019).
[7] Goodfellow, Ian, et al. “Generative adversarial networks.” Communications of the ACM 63.11 : 139-144 (2020).
[8] Sachar, Silky, and Anuj Kumar. “DCGAN-based deep learning approach for medicinal leaf identification.”
[9] Ashish, Vaswani. “Attention is all you need.” arXiv preprint arXiv: 1706.03762 (2017).
[10] Liang, Meiyan, et al. “Multi-scale self-attention generative adversarial network for pathology image restoration.” The Visual Computer 39.9 : 4305-4321 (2023).
[11] Kim, Hwajoon. “The definition of convolution in deep learning by using matrix.” Journal of Engineering and Applied Sciences 14.7 : 2272-2275 (2019).
[12] Bahdanau, Dzmitry, Kyunghyun Cho, and Yoshua Bengio. “Neural machine translation by jointly learning to align and translate.” arXiv preprint arXiv:1409.0473 (2014).
[13] Isola, Phillip, et al. “Image-to-image translation with conditional adversarial networks.” Proceedings of the IEEE conference on computer vision and pattern recognition (2017).
[15] Pan, Yue, et al. “FDPPGAN: remote sensing image fusion based on deep perceptual patchGAN.” Neural Computing and Applications 33 : 9589-9605 (2021).
[16] O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor images [online] (accessed 1 October 2023). https://data.vision.ee.ethz.ch/cvl/ntire18//o-haze/
[17] I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images [online] (accessed 1 October 2023). https://data.vision.ee.ethz.ch/cvl/ntire18//i-haze/
[18] Sharma, Divya; Sharma, Shilpa; Bhatnagar, Vaibhav, “Foggy-Hazy License Plates Images”, Mendeley Data, V1 (2023), doi: 10.17632/p3jr4555tf.1
[19] Saxena, Sameer, et al. “Comparative analysis between different edge detection techniques on mammogram images using PSNR and MSE.” Journal of Information and Optimization Sciences 43.2 : 347-356 (2022).
