1 citations · 3 across the 7 of their papers we have counts for
7 papers
Ray-Space Motion Compensation for Lenslet Plenoptic Video Coding
Thuc Nguyen Huu, Vinh Van Duong, Jonghoon Yim +1
Plenoptic images and videos bearing rich information demand a tremendous amount of data storage and high transmission cost. While there has been much study on plenoptic image codin…
Multi-Scale Deep Compressive Imaging
Thuong Nguyen Canh, Byeungwoo Jeon
Recently, deep learning-based compressive imaging (DCI) has surpassed the conventional compressive imaging in reconstruction quality and faster running time. While multi-scale has…
Restricted Structural Random Matrix for Compressive Sensing
Thuong Nguyen Canh, Byeungwoo Jeon
Compressive sensing (CS) is well-known for its unique functionalities of sensing, compressing, and security (i.e. CS measurements are equally important). However, there is a tradeo…
Multi-Scale Deep Compressive Sensing Network
Thuong Nguyen Canh, Byeungwoo Jeon
With joint learning of sampling and recovery, the deep learning-based compressive sensing (DCS) has shown significant improvement in performance and running time reduction. Its rec…
Compressive Sensing of Color Images Using Nonlocal Higher Order Dictionary
Khanh Quoc Dinh, Thuong Nguyen Canh, Byeungwoo Jeon
This paper addresses an ill-posed problem of recovering a color image from its compressively sensed measurement data. Differently from the typical 1D vector-based approach of the s…
Block Compressive Sensing of Image and Video with Nonlocal Lagrangian Multiplier and Patch-based Sparse Representation
Trinh Van Chien, Khanh Quoc Dinh, Byeungwoo Jeon +1
Although block compressive sensing (BCS) makes it tractable to sense large-sized images and video, its recovery performance has yet to be significantly improved because its recover…
Total variation reconstruction for compressive sensing using nonlocal Lagrangian multiplier
Trinh Van Chien, Khanh Quoc Dinh, Viet Anh Nguyen +1
Total variation has proved its effectiveness in solving inverse problems for compressive sensing. Besides, the nonlocal means filter used as regularization preserves texture better…