189 citations · 928 across the 27 of their papers we have counts for
4 papers · 2 filters
An End-to-End Compression Framework Based on Convolutional Neural Networks
Feng Jiang, Wen Tao, Shaohui Liu +3
Deep learning, e.g., convolutional neural networks (CNNs), has achieved great success in image processing and computer vision especially in high level vision applications such as r…
Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module
Wuzhen Shi, Feng Jiang, Debin Zhao
Traditional works have shown that patches in a natural image tend to redundantly recur many times inside the image, both within the same scale, as well as across different scales.…
Deep Networks for Compressed Image Sensing
Wuzhen Shi, Feng Jiang, Shengping Zhang +1
The compressed sensing (CS) theory has been successfully applied to image compression in the past few years as most image signals are sparse in a certain domain. Several CS reconst…
Learning Convolutional Networks for Content-weighted Image Compression
Mu Li, Wangmeng Zuo, Shuhang Gu +2
Lossy image compression is generally formulated as a joint rate-distortion optimization to learn encoder, quantizer, and decoder. However, the quantizer is non-differentiable, and…