Conference
Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding
Abstract
Deep convolutional neural networks (DCNN) have enjoyed great successes in many signal processing applications because they can learn complex, non-linear causal relationships from input to output. In this light, DCNNs are well suited for the task of sequential prediction of multidimensional signals, such as images, and have the potential of improving the performance of traditional linear predictors. In this research we investigate how far DCNNs …
Authors
Zhang X; Wu X
Volume
00
Pagination
pp. 1602-1606
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
May 17, 2019
DOI
10.1109/icassp.2019.8683863
Name of conference
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)