Search Results for author: Thuong Nguyen Canh

Found 8 papers, 4 papers with code

Leveraging Video Coding Knowledge for Deep Video Enhancement

no code implementations27 Feb 2023 Thong Bach, Thuong Nguyen Canh, Van-Quang Nguyen

Recent advancements in deep learning techniques have significantly improved the quality of compressed videos.

Video Compression Video Enhancement +1

Human-Imperceptible Identification with Learnable Lensless Imaging

no code implementations4 Feb 2023 Thuong Nguyen Canh, Trung Thanh Ngo, Hajime Nagahara

Lensless imaging protects visual privacy by capturing heavily blurred images that are imperceptible for humans to recognize the subject but contain enough information for machines to infer information.

Multi-Scale Deep Compressive Imaging

1 code implementation3 Aug 2020 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.

Restricted Structural Random Matrix for Compressive Sensing

no code implementations18 Feb 2020 Thuong Nguyen Canh, Byeungwoo Jeon

RSRM acquired compressive measurements with random projection (equally important) of multiple randomly sub-sampled signals, which was restricted to be the low-resolution signals (equal in energy), thereby, its observations are equally important.

Compressive Sensing

Power Control in Cellular Massive MIMO with Varying User Activity: A Deep Learning Solution

1 code implementation11 Jan 2019 Trinh Van Chien, Thuong Nguyen Canh, Emil Björnson, Erik G. Larsson

We first consider the sum spectral efficiency (SE) optimization problem for systems with a dynamically varying number of active users.

Information Theory Information Theory

Multi-Scale Deep Compressive Sensing Network

1 code implementation15 Sep 2018 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.

Compressive Sensing

Compressive Sensing of Color Images Using Nonlocal Higher Order Dictionary

no code implementations26 Nov 2017 Khanh Quoc Dinh, Thuong Nguyen Canh, Byeungwoo Jeon

The multiple sub-dictionaries contained in the higher order dictionary decorrelate the group in each corresponding dimension, thus help the detail of color images to be reconstructed better.

Compressive Sensing

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