Denoising images corrupted with impulse, Gaussian, or a mixture of impulse and Gaussian noise-Reference-Cited by-同舟云学术

Denoising images corrupted with impulse, Gaussian, or a mixture of impulse and Gaussian noise

Published:2019-06 Issue:3 Volume:22 Page:746-753
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Awad Ali

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference21 articles.

1. PDE-based random-valued impulse noise removal based on new class of controlling functions;Wu;IEEE Trans. Image Process.,2011

2. Standard deviation for obtaining the optimal direction in the removal of impulse noise;Awad;IEEE Signal Process. Lett.,2011

3. A contrast enhancement-based filter for removal of random valued impulse noise;Ghanekar;IEEE Signal Process. Lett.,2010

4. Advanced impulse detection based on pixel-wise MAD;Crnojevíc;IEEE Signal Process. Lett.,2004

5. Bilateral filtering for gray and color images;Tomasi;IEEE Int. Conf. Computer Vision,1998

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Review of Cherenkov imaging technology advances in radiotherapy: single-photon-level imaging in high ambient light and radiation backgrounds;Biophotonics Discovery;2024-07-18

2. Real-time image denoising corrupted by shot-noise;Системи обробки інформації;2024-05-21

3. Development of Advanced Noise Filtering Techniques for Medical Image Enhancement;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11

4. RANGO: A Novel Deep Learning Approach to Detect Drones Disguising from Video Surveillance Systems;ACM Transactions on Intelligent Systems and Technology;2024-02-22

5. Simultaneous denoising and super resolution of document images;Sādhanā;2024-01-22