Asem Khmag

Orcid: 0000-0002-1360-5346

According to our database1, Asem Khmag authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2023
Smoke removal technique of industrial scene images based on second-generation wavelets and dark channel prior model.
Soft Comput., December, 2023

Natural digital image mixed noise removal using regularization Perona-Malik model and pulse coupled neural networks.
Soft Comput., November, 2023

Additive Gaussian noise removal based on generative adversarial network model and semi-soft thresholding approach.
Multim. Tools Appl., February, 2023

2022
Digital image noise removal based on collaborative filtering approach and singular value decomposition.
Multim. Tools Appl., 2022

2021
A Robust Watermarking Technique for High-Efficiency Video Coding (HEVC) Based on Blind Extraction Scheme.
SN Comput. Sci., 2021

2019
Clustering-based natural image denoising using dictionary learning approach in wavelet domain.
Soft Comput., 2019

Additive Noise Level Estimation Based on Singular Value Decomposition (SVD) in Natural Digital Images.
Proceedings of the 2019 IEEE International Conference on Signal and Image Processing Applications, 2019

Natural Image Deblurring using Recursive Deep Convolutional Neural Network (R-DbCNN) and Second-Generation Wavelets.
Proceedings of the 2019 IEEE International Conference on Signal and Image Processing Applications, 2019

2018
Natural image noise level estimation based on local statistics for blind noise reduction.
Vis. Comput., 2018

Natural image noise removal using nonlocal means and hidden Markov models in transform domain.
Vis. Comput., 2018

Single image dehazing using second-generation wavelet transforms and the mean vector L2-norm.
Vis. Comput., 2018

Natural image noise removal using non local means and hidden Markov models in stationary wavelet transform domain.
Multim. Tools Appl., 2018

2017
Denoising of natural images through robust wavelet thresholding and genetic programming.
Vis. Comput., 2017


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