Canh, T.N.[Thuong Nguyen]
* 2014: Detail-preserving compressive sensing recovery based on cartoon texture image decomposition
* 2015: Compressive sensing of video with weighted sensing and measurement allocation
* 2015: Multi-scale/multi-resolution Kronecker compressive imaging
* 2016: Color Image Denoising via Cross-Channel Texture Transferring
* 2016: Compressive sensing reconstruction via decomposition
* 2019: Deep Compressive Sensing for Visual Privacy Protection in FlatCam Imaging
* 2019: Difference of Convolution for Deep Compressive Sensing
* 2021: Restricted Structural Random Matrix for compressive sensing
* 2022: NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
Includes: Canh, T.N.[Thuong Nguyen] Canh, T.N. Canh, T.N.[T. Nguyen]
9 for Canh, T.N.
Canham, K.
* 2011: Spatially Adaptive Hyperspectral Unmixing
Canham, R.O.
* 2000: Recognition and Grading of Severely Distorted Geometric Shapes from within a Complex Figure
* 2005: Location of structural sections from within a highly distorted complex line drawing
Canham, T.[Trevor]
* 2022: Image Quality Evaluation in Professional HDR/WCG Production Questions the Need for HDR Metrics
* 2023: Using Decoupled Features for Photorealistic Style Transfer
Canhoto, J.[Jorge]
* 2022: Detection of Tree Decline (Pinus pinaster Aiton) in European Forests Using Sentinel-2 Data