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NTIS 바로가기반도체디스플레이기술학회지 = Journal of the semiconductor & display technology, v.22 no.1, 2023년, pp.129 - 133
이용환 (원광대학교 디지털콘텐츠공학과) , 김흥준 (경상국립대학교 컴퓨터과학부)
Image compression is a fundamental technique in the field of digital image processing, which will help to decrease the storage space and to transmit the files efficiently. Recently many deep learning techniques have been proposed to promise results on image compression field. Since many image compre...
Manish I. Patel, Sirali Suthar, Jil Thakar, "Survey on?Image Compression using Machine Learning and Deep?Learning", Proceedings of the International Conference?on ICICCS, pp.1103-1105, 2019.
Baba Fakruddin Ali, Prakash R., "Overview on?Machine Learning in Image Compression Techniques",?Innovations in Power and Advanced Computer Technologies, 2021.
Hajar Maseeh Yasin, Adnan Mohsin Abdulazeez,?"Image Compression based on Deep Learning: A?Review", Asian Journal of Research in Computer?Science, vol.8, issue.1, pp.62-76, 2021.
David Alexandre, Chih-Peng Chang, Wen-Hsiao Peng,?Hsueh-Ming Hang, "An Autoencoder-based Learned?Image Compressor: Description of Challenge Proposal by NCTU", Workshop on Computer Vision and Pattern?Recognition (CVPR), 2019. [Available at] https://arxiv.org/abs/1902.07385v1
Lukas Cavigelli, Pascal Hager, Luca Benini, "CASCNN : A Deep Convolutional Neural Network for?Image Compression Artifact Suppression", International?Joint Conference on Neural Networks (IJCNN), 2017.
Website; https://wiki.pathmind.com/deep-autoencoder
Website; https://wiki.pathmind.com/convolutional-network
Y.H. Lee, "Study on Image Compression Algorithm?with Deep Learning", Journal of the Semiconductor &?Display Technology, vol.21, no.4, 2022.
Rikiya Yamashita, Mizuho Nishio, Richard Kinh Gian?Do, Kaori Togashi, "Convolutional neural networks: an?overview and application in radiology", Insights into?Imaging, vol.9, pp.611-629, 2018.
Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu,?Huaijuan Zang, Shu Zhan, "Encoder-Decoder Residual?Network for Real Super-resolution", Conference on?Computer Vision and Pattern Recognition, 2019.
Shervin Mimaee, Yuri Boykov, Fatih Porikli, Antonio?Plaza, Nasser Kehtarnavaz, "Image Segmentatioin using?Deep Architecture: ASurvey", IEEE Transaction on?Pattern Analysis and Machine Intelligence, vol.44,?issue.7, 2022.
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J.?Pal, Data Mining (Fourth Edition), Practical Machine?Learning Tools and Techniques, 2017.
Chao Dong, Chen Change Loy, Kaiming He, Xiaoou?Tang, "Learning a Deep Convolutional Network for?Image Super-Resolution", Lecture Notes in Computer?Science, vol.8692, pp.184-199, 2014.
Pavel Svoboda, Michal Hradis, David Barina, Pavel?Zemcik, "Compression Artifacts Removal Using Convolutional Neural Networks", International Conference?in Central Europe on Computer Graphics and Visualization (WSCG), 2016.
Jonathan Long, Evan Shelhamer, Trevor Darrell, "Fully?Convolutional Networks for Semantic Segmentation",?Computer Vision and Pattern Recognition (CVPR), 2015.
Sharan Chetlur, Cliff Woolley, Philippe Vandermersch,?Jonathan Cohen, John Tran, "cuDNN: Efficient Primitives for Deep Learning", https://arxiv.org/abs/1410.0759, 2014.
Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling,?Yingzhen Yang, Thomas S. Huang, "D3: Deep Dual-Domain Based Fast Restoration of JPEGCompressed?Images", IEEE Conference on Computer Vision and?Pattern Recognition, 2016.
Huibin Chang, Michael K. Ng, Tieyong Zeng, "Reducing Artifacts in JPEG Decompression Via a Learned?Dictionary", IEEE Transactions on Signal Processing,?Vol.62, Issue.3, 2014.
Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao,?"Multiple Description Convolutional Neural Networks?for Image Compression", IEEE Transactions on Circuits?and Systems for Video Technology, Vol.29, Issue.8, 2019.
Zhengxue Cheng, Heming Sun, Masaru Takeuchi, Jiro?Katto, "Energy Compaction-Based Image Compression?Using Convolutional AutoEncoder", IEEE Transactions?on Multimedia, Vol.22, Issue.4, 2020.
Ruslan Salakhutdinov, Hugo Larochelle, "Efficient?Learning of Deep Boltzmann Machines", Proceeding of?International Conference on Artificial Intelligence and?Statistics (AISTATS), 2010.
Ruslan Salakhutdinov, Geoffrey Hinton, "A Better Way?to Pretrain Deep Boltzmann Machines", Advances in?Neural Information Processing Systems (NIPS), 2012.
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li,?Li Fei-Fei, "ImageNet: A large-scale hierarchical image?database", IEEE Conference on Computer Vision and?Pattern Recognition, 2009.
Website; https://www.image-net.org/download.php
Giuseppe Valenzise, Andrei Purica, Vedad Hulusic,?Marco Cagnazzo, "Quality Assessment of Deep-Learning-Based Image Compression", IEEE International?Workshop on Multimedia Signal Processing (MMSP), 2018.
Y.K. Lee, Y.H. Lee, "Implementation of Moving Object?Recognition based on Deep Learning", Journal of the?Semiconductor & Display Technology, vol.17, no.2, 2018.
H.C. Ahn, Y.H. Lee, "A Research of CNN-based Object?Detection for Multiple Object Tracking in Image",?Journal of the Semiconductor & Display Technology,?vol.18, no.3, pp.110-114, 2019.
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