Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms

7 May 2022

Papers citing "Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms"

8 / 8 papers shown

Title
Memory-Efficient Network for Large-scale Video Compressive Sensing Ziheng Cheng Bo Chen Guanliang Liu Hao Zhang Ruiying Lu Zhengjue Wang Xin Yuan 66 63 0 04 Mar 2021
Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging Xin Yuan Yang Liu J. Suo Qionghai Dai 64 183 0 30 Mar 2020
Memory-efficient Learning for Large-scale Computational Imaging -- NeurIPS deep inverse workshop Michael R. Kellman Jonathan I. Tamir E. Bostan Michael Lustig Laura Waller SupR 74 57 0 11 Dec 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers Ernest K. Ryu Jialin Liu Sicheng Wang Xiaohan Chen Zhangyang Wang W. Yin AI4CE 78 354 0 14 May 2019
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising Peng Sun W. Zuo Lei Zhang 140 2,133 0 11 Oct 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery Christopher A. Metzler Ali Mousavi Richard G. Baraniuk 87 286 0 21 Apr 2017
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring Seungjun Nah Tae Hyun Kim Kyoung Mu Lee 147 1,983 0 07 Dec 2016
Coded aperture compressive temporal imaging P. Llull X. Liao Xin Yuan Jianbo Yang D. Kittle Lawrence Carin Guillermo Sapiro D. Brady 83 371 0 04 Feb 2013