Chinese Journal of Lasers, Volume. 46, Issue 10, 1009001(2019)
End-to-End Multispectral Image Compression Using Convolutional Neural Network
Fig. 2. Intermediate feature image visualization. (a) Original image; (b) fMap_5; (c) fMap_16; (d) fMap_32; (e) fMap_46
Fig. 3. Illustrations of residual network unit. (a) Default architecture in ResNet; (b) proposed architecture ResUnit by replacing ReLU
Fig. 4. Illustrations of compression networks. (a) Forward coding network architecture; (b) reverse decoding network architecture
Fig. 7. Reconstructed image display. (a) Original image; (b) JPEG; (c) JPEG2000; (d) proposed algorithm
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Fanqiang Kong, Yongbo Zhou, Qiu Shen, Keyao Wen. End-to-End Multispectral Image Compression Using Convolutional Neural Network[J]. Chinese Journal of Lasers, 2019, 46(10): 1009001
Category: holography and information processing
Received: May. 22, 2019
Accepted: Jun. 17, 2019
Published Online: Oct. 25, 2019
The Author Email: Zhou Yongbo (zybfight@163.com)