polwork

An-Iterative-Image-Dehazing-Method-with-Polarization

It is the code for paper "Yongqiang Zhao, Linghao Shen, Qunnie Peng, Jonathan Cheung-Wai Chan, Seong G. Kong. An Iterative Image Dehazing Method with Polarization, IEEE Transactions on Multimedia"

Demosaicking-DoFP-images-using-Newton-polynomial-interpolation-and-polarization-difference-model

This is the MATLAB implementation of the Newton's polynomial interpolation of the DoFP images demosaicking described in the following paper: Ning Li, Yongqiang Zhao, Quan Pan, and Seong G. Kong, "Demosaicking DoFP images using Newton's polynomial interpolation and polarization difference model," Opt. Express 27, 1376-1391 (2019)

Hyperspectral-Image-Denoising-via-Sparse-Representation-and-Low-Rank-Constraint

Zhao Y Q, Yang J. Hyperspectral image denoising via sparse representation and low-rank constraint[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(1): 296-308.

LDDRS

This is a LWIR DoFP Dataset of Road Scene (LDDRS)

Learning-and-Transferring-Deep-Joint-Spectral-Spatial-Features-for-Hyperspectral-Classification

code for paper "Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification"

Mosaic-Convolution-Attention-Network-for-Demosaicing-Multispectral-Filter-Array-Images

This repository is the official PyTorch implementation of "Mosaic Convolution-Attention Network for Demosaicing Multispectral Filter Array Images" (TCI 2021)

No-Reference-Hyperspectral-Image-Quality-Assessment-via-Quality-Sensitive-Features-Learning

code for paper "Yang, J., Zhao, Y., Yi, C., & Chan, J. C. W. (2017). No-Reference Hyperspectral Image Quality Assessment via Quality-Sensitive Features Learning. Remote Sensing, 9(4), 305."

PCDP

Code for "Polarization image demosaicking using polarization channel difference prior"

PDS

U-2Pnet

polwork/Hyperspectral-Image-Denoising-via-Sparse-Representation-and-Low-Rank-Constraint

Zhao Y Q, Yang J. Hyperspectral image denoising via sparse representation and low-rank constraint[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(1): 296-308.

polwork/An-Iterative-Image-Dehazing-Method-with-Polarization

It is the code for paper "Yongqiang Zhao, Linghao Shen, Qunnie Peng, Jonathan Cheung-Wai Chan, Seong G. Kong. An Iterative Image Dehazing Method with Polarization, IEEE Transactions on Multimedia"

polwork/Demosaicking-DoFP-images-using-Newton-polynomial-interpolation-and-polarization-difference-model

This is the MATLAB implementation of the Newton's polynomial interpolation of the DoFP images demosaicking described in the following paper: Ning Li, Yongqiang Zhao, Quan Pan, and Seong G. Kong, "Demosaicking DoFP images using Newton's polynomial interpolation and polarization difference model," Opt. Express 27, 1376-1391 (2019)

polwork/Learning-and-Transferring-Deep-Joint-Spectral-Spatial-Features-for-Hyperspectral-Classification

code for paper "Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification"

polwork/LDDRS

This is a LWIR DoFP Dataset of Road Scene (LDDRS)

polwork/U-2Pnet

polwork/PCDP

Code for "Polarization image demosaicking using polarization channel difference prior"

polwork/Mosaic-Convolution-Attention-Network-for-Demosaicing-Multispectral-Filter-Array-Images

This repository is the official PyTorch implementation of "Mosaic Convolution-Attention Network for Demosaicing Multispectral Filter Array Images" (TCI 2021)

polwork/No-Reference-Hyperspectral-Image-Quality-Assessment-via-Quality-Sensitive-Features-Learning

code for paper "Yang, J., Zhao, Y., Yi, C., & Chan, J. C. W. (2017). No-Reference Hyperspectral Image Quality Assessment via Quality-Sensitive Features Learning. Remote Sensing, 9(4), 305."

polwork/PDS

polwork/Hyperspectral-and-Multispectral-fusion-via-Two-branch-CNN

polwork/LRTC-DM

Mixed Norm Regularized Models for Low-Rank Tensor Completion

polwork/Band-Subset-Based-Clustering-Fusion-for-Hyperspectral-Imagery-Classification

It is the code for paper "Yong-Qiang Zhao ; Lei Zhang ; Seong G. Kong. Band Subset Based Clustering Fusion for Hyperspectral Imagery Classification, IEEE Transactions on Geoscience and Remote Sensing ( Volume: 49, Issue: 2, Feb. 2011 )"

polwork/TMSL

polwork/HOMG

Histograms of oriented mosaic gradients for snapshot spectral image description

polwork/TGI

The code for Transductive Gradient Injection for Improved Hyperspectral Image Denoising

polwork/Unsupervised-Spectral-Demosaicing

polwork/APMR

polwork/HSI-CSR

Nonlocal Tensor Sparse Representation and Low-Rank Regularization for Hyperspectral Image Compressive Sensing Reconstruction

polwork/CAFusion

polwork/polwork.github.io

polwork/Snapshot-VNIR-Spectral-Image-Denoising

polwork/starter-hugo-academic