1 |
Website; https://opencv.org/
|
2 |
Website; https://www.tensorflow.org/?hl=ko
|
3 |
Website; https://github.com/Justin-Tan/high-fidelity-generative-compression
|
4 |
Toderici et al., "Full resolution image compression with recurrent neural networks", 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, pp.5435-5443, 2017.
|
5 |
Akyazi, Ebrahimi T., "A new end-to-end image compression system based on convolutional neural networks", 2019.
|
6 |
Li S, Zheng Z, Dai W, Xiong H., "Lossy image compression with filter bank based convolutional networks", Data Compression Conference Proceeding, pp.23-32, 2019.
|
7 |
Guo Li D, Li X., "Deep OCT image compression with convolutional neural networks", Biomedical Opt Express, vol.11, no.7, 2020.
|
8 |
M Li, K Ma J. You D, Zuo W., "Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression", IEEE Transaction on Image Processing, vol.29, no.1, pp.5900-5911, 2020.
DOI
|
9 |
Krishnaraj S, Mohamed Elhoseny N, Thenmozhi M, Mahmoud Selim M., "Deep learning model for real-time image compression in Internet of Underwater Things (IoUT)", Journal of Real-Time Image Processing, vol.6, no.17, pp.2097-2111, 2020.
|
10 |
S.H. Lee, S.M. Im, J.H. Jang, Y.S. Kim, "Image Compression using Integer Lapped Orthogonal Transform", Journal of the Semiconductor & Display Technology, vol.8, no.3, pp.45-50, 2009.
|
11 |
Y.W. Kim, J.H. Lee, "Quantized CNN-based Super-Resolution Method for Compressed Image Reconstruction". Journal of the Semiconductor & Display Technology, vol.19, no.4, pp.71-76, 2020
|
12 |
Dharwal R., "Applications of Artificial Neural Networks: A review", Indian Journal of Science Technologies, vol.9, no.1, pp.1-8, 2016.
DOI
|
13 |
Schiopu Y Liu, Munteanu A., "CNN-based prediction for lossless coding of photographic images", Picture Coding Symposium (PCS), vol.3, pp.16-20, 2018.
|
14 |
Zeebaree D, Abdulazeez A., "Evaluating Data Mining Classification Methods Performance in Internet of Things Applications", Journal of Soft Computing and Data Mining, vol.1, no.2, pp.10-25, 2020.
|
15 |
Zeebaree D., Abdulazeez A., Zebari D., Haron H, Hamed H., "Multi-level fusion in ultrasound for cancer detection based on uniform LBP features", Computer Materials, vol.66, no.3, pp.3363-3382, 2021.
DOI
|
16 |
Hoang TM, Zhou J, Fan Y., "Image compression with encoder-decoder matched semantic segmentation", IEEE Computer Society on Conference Computer Vissual Pattern Recognition Workshop, pp.619-623, 2020.
|
17 |
Y.H. Lee, Y.S. Kim, "Implementation of Image Semantic Segmentation on Android Device using Deep Learning", Journal of the Semiconductor & Display Technology, vol.19, no.2, pp.88-91, 2020.
|
18 |
J. Swabrick, "Encyclopedia of Pharmaceutical Technology", Informa Healthcare USA, New York, NY, USA, 3rd edition, 2007.
|
19 |
Artem M. Grachevab, Dmitry I. Ignatovb, Andrey V. Savchenkoc, "Compression of recurrent neural networks for efficient language modeling", Applied Soft Computing, vol.79, pp.354-362, 2019.
DOI
|
20 |
Siwei Ma, Xinfeng Zhang, Chuanmin Jia, Zhenghui Zhao, Shiqi Wang, Shanshe Wang, "Image and Video COmpression with Neural Networks: A Review", IEEE Transaction on Circuits and Systems for Video Technology, 2019.
|
21 |
Muyang Li1, Ji Lin1, Yaoyao Ding, Zhijian Liu, JunYan Zhu, Song Han, "GAN Compression: Efficient Architectures for Interactive Conditional GANs", Computer Vision and Pattern Recognition, 2020.
|
22 |
Website; https://kr.mathworks.com/products/image.html
|
23 |
Peixoto E, Hung EM, De Campos T., "Multi-Mode Intra Prediction for Learning-Based Image Compression", IEEE Xplore, pp.1296-1300, 2018.
|
24 |
Zheng B, Chen Y, Tian X, Zhou F, Liu X., "Implicit dual-domain convolutional network for robust color image compression artifact reduction", IEEE Transaction on Circuits Systtem and Video Technology, vol.30, no.11, pp.3982-3994, 2020.
DOI
|
25 |
Marius-Constantin Popescu, et al., "Multilayer perceptron and neural networks", WSEAS Transactions on Circuits and Systems, vol.8, no.7, 2009.
|
26 |
Brifcani M., Al-Bamerny J., "Image compression analysis using multistage vector quantization based on discrete wavelet transform", 2010 International Conference on Methods, Model Computer Sciences (ICM2CS), pp.46-53, 2010.
|
27 |
Bargarai FAM, Abdulazeez AM, Tiryaki VM, Zeebaree DQ., "Management of wireless communication systems using artificial intelligence-based software defined radio", International Journal of Interact Mobile Technolgy, vol.14, no.13, pp.107-133, 2020.
|
28 |
Govinda E, Indira Dutt, "Artificial neural networks in UWB image processing for early detection of breast cancer", International Journal of Advanced Sciences Technology, vol.29, no.5, pp.2717-2730, 2020.
|
29 |
Li Gu S, Van Gool L, Timofte R., "Learning filter basis for convolutional neural network compression", IEEE International Conference on Computer Vision, pp.5622-5631, 2019.
|
30 |
Zhao Peng, "Multilayer Perceptron Algebra", Machine Learning, FOS: Computer and information sciences, 2017.
|
31 |
Lukas Cavigelli, Pascal Hager, Luca Benini, "A Deep Convolution Neural Network for Image Compression Artifact Suppression", International Conference on Neural Networks (IJICNN), 2017.
|
32 |
Feng Jiang, Wen Tao, Shaohui Liu, Jie Ren, Xun Guo, Debin Zhao, "An End-to-End Compression Framework Based on Convolutional Neural Networks", IEEE Transactions on Circuits and Systems for Video Technology, 2017.
|
33 |
Mohammed, S. B., & Abdulazeez, A. M., "Deep Convolution Neural Network for Facial Expression Recognition", Journal of Archaeology of Egypt/Egyptology, vol.18, no.4, pp.3578-3586, 2021.
|
34 |
Medsker L, Jain LC, Eds., "Recurrent Neural Network: Design and application", London: CRC Press, 2001.
|
35 |
Fabian Mentzer, et al., "High-Fidelity Generative Image Compression", 34th Conference on Neural Information Processing Systems, 2020. RR16. J. Swabrick, "Encyclopedia of Pharmaceutical Technology", Informa Healthcare USA, New York, NY, USA, 3rd edition, 2007.
|
36 |
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, Luc Van Gool, "Generative Adversarial Networks for Extreme Learned Image Compression", Computer Vision and Pattern Recognition, 2018.
|