3 citations · 10 across the 9 of their papers we have counts for
5 papers · 1 filter
Deep Decoding of -coded Light Field Images
Muhammad Umair Mukati, Xi Zhang, Xiaolin Wu +1
To enrich the functionalities of traditional cameras, light field cameras record both the intensity and direction of light rays, so that images can be rendered with user-defined ca…
Functional Neural Networks for Parametric Image Restoration Problems
Fangzhou Luo, Xiaolin Wu, Yanhui Guo
Almost every single image restoration problem has a closely related parameter, such as the scale factor in super-resolution, the noise level in image denoising, and the quality fac…
Ultra High Fidelity Image Compression with -constrained Encoding and Deep Decoding
Xi Zhang, Xiaolin Wu
In many professional fields, such as medicine, remote sensing and sciences, users often demand image compression methods to be mathematically lossless. But lossless image coding ha…
Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction
Seyed Mehdi Ayyoubzadeh, Xiaolin Wu
We present a CNN-based predictive lossless compression scheme for raw color mosaic images of digital cameras. This specialized application problem was previously understudied but i…
Nonlinear Prediction of Multidimensional Signals via Deep Regression with Applications to Image Coding
Xi Zhang, Xiaolin Wu
Deep convolutional neural networks (DCNN) have enjoyed great successes in many signal processing applications because they can learn complex, non-linear causal relationships from i…