Image Denoising With Linear and Non-linear Filters

Ahamed, B. Bazeer; Yuvaraj, D.; Shanmugapriya, S

doi:10.1109/iccike47802.2019.9004429

Cited by 10 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bahrain's strategic location at the intersection of the Arabian Gulf has given it a key position in international trade, banking, and business. The nation of Bahrain has distinguished itself among the GCC countries as being dynamic and forward-thinking, featuring a highly active non-financial industry that greatly boosts the economic health of the whole region (Ahamed & Shukla, 2023). A lot of positive matters have been told about the by business opportunities -building the creative economies in the GCC (2023) regarding Bahrain's unique position within the GCC that is emphasized by its long history as a commercial center that fostered ties between the East and West.…”

Section: Introductionmentioning

confidence: 99%

The Mediating Role of Innovation on the Relationship Between Supply Chain Management and Company Performance in the Kingdom of Bahrain

Alabdullah,

Kanaan-Jebna

2023

JHSSB

View full text Add to dashboard Cite

This research focuses on critical independent variables, including information quantity and quality sharing, and the adoption of lean practices within companies. It examines these variables to understand their effects on corporate performance using innovation as a mediator. Data from registered non-financial businesses in Bahrain are utilized, and Smart PLS is recommended for analysis. The study aims to unravel the intricate relationships among these variables in Bahrain's nonfinancial sector. Conceptually, it contributes to a deeper understanding of the interplay between information sharing, lean methods, innovation, and firm performance, with a focus on the mediating role of innovation. Practically, it offers insights for business leaders, policymakers, and professionals, enhancing awareness of information sharing, quality, and lean methods, thereby enabling informed decisions to improve corporate performance and foster innovation-driven growth. The uniqueness of this research lies in its holistic approach, examining the interconnectedness of information sharing, lean practices, innovation, and firm performance. Unlike previous studies that explored these aspects in isolation, this research integrates them into a comprehensive framework, enhancing its value to the field and potential impact on business operations. It serves as a valuable resource for academics, researchers, corporate executives, employees, and regulators. Academics and researchers benefit from its conceptual and empirical contributions, while corporate stakeholders gain practical insights for enhancing performance and promoting innovation. Regulators can leverage the findings to develop legislative structures that facilitate information sharing, quality, and lean practices in Bahrain's nonfinancial sector.

show abstract

Section: Introductionmentioning

confidence: 99%

The Mediating Role of Innovation on the Relationship Between Supply Chain Management and Company Performance in the Kingdom of Bahrain

Alabdullah,

Kanaan-Jebna

2023

JHSSB

View full text Add to dashboard Cite

show abstract

“…Jiang et al 25 implemented the NLM and BM3D for denoising the underwater images and obtaining decent results. Similarly, Ahamed et al 26 utilized various filters, such as Weiner filter, median filter, average filter, disk filter, and Gaussian filter to remove the salt-and-pepper noise from the images. Similarly, Goyal et al 27 removed the Gaussian noise using the dual-way edge fusion scheme.…”

Section: Traditional-based Approachesmentioning

confidence: 99%

Deep stacked denoising autoencoder for unsupervised anomaly detection in video surveillance

Roka

Diwakar

2023

J. Electron. Imag.

View full text Add to dashboard Cite

.Due to the increase of crime and terror, security concerns are rising rapidly every day. The use of surveillance cameras for abnormal behavior detection has become an indispensable part of human beings. But the performance of most of the developed systems is not up to the mark because of the low performance and accuracy in detecting the abnormality in the videos due to mainly the presence of noise. The videos captured by the surveillance camera are generally born with no or more noise due to various reasons. To resolve such issues, we provide a snapshot regarding different categories of noise and handcraft techniques to resolve them. Non-local means, block matching, and 3D filtering filters perform astonishingly well while denoising the images. We also present a robust unsupervised deep learning model called deep stacked denoising autoencoder (DSDAE) for denoising the images and further use it for abnormal activity detection and localization in the videos. Our approach has achieved a noteworthy result in image denoising compared to other handcraft-based techniques. DSDAE uses a separate encoder for the extraction of appearance features using clean and noisy images and motion features through the optical flow images. Early fusion is done in the extracted features and passed to the decoder. Only those pixels whose reconstruction error is greater than the threshold will be considered abnormal pixels. Experiment results are compared quantitatively/qualitatively with the recent competitive state-of-the-art methods in the publicly available benchmark datasets Ped1, Ped2, CUHK Avenue, and ShanghaiTech that demonstrate the superior accuracy and performance of our DSDAE. The obtained area under the curve of DSDAE in Ped1, Ped2, CUHK Avenue, and ShanghaiTech is 98.14%, 97.92%, 95.89%, and 96.7%, respectively, whereas equal error rate for the same datasets is 5.4%, 4.5%, 12.03%, and 7.8%, respectively.

show abstract

“…Paper [4] uses the method used by binary images encryption with the possibility of using several keys example: initial state, the external parameters and iterations' number. Paper [5] analyses the Advanced Encryption Standard (AES) for ensuring the encryption performance.…”

Section: Related Workmentioning

confidence: 99%

Sensible Image Encryption for Military Applications Based on Advanced Encryption Standard Algorithm (AES)

Krishnamoorthy

2023

Preprint

View full text Add to dashboard Cite

With the rapid development of military applications and advanced warfare between the nations, the building of network and communication technology, transmitting sensible information across troops has become a necessary way of information transmission. Therefore, much more attention has been paid to the development of the image encryption technology for military applications. In this paper, we propose a image encryption technology based on AES algorithm, and the algorithm implementation in GNC/GCC. Then, we perform image processing, obtain the password text that can use the AES encryption algorithm, combine both password and secured image. Then, the digital image can be encrypted, and the algorithm is realized in GNU simulation. Through the comparison of the histogram analysis and the analysis of the key, the result has showed that the method can better realize the effect of encryption and decryption with more security for image transmission.

show abstract

Image Denoising With Linear and Non-linear Filters

Cited by 10 publications

References 7 publications

The Mediating Role of Innovation on the Relationship Between Supply Chain Management and Company Performance in the Kingdom of Bahrain

The Mediating Role of Innovation on the Relationship Between Supply Chain Management and Company Performance in the Kingdom of Bahrain

Deep stacked denoising autoencoder for unsupervised anomaly detection in video surveillance

Sensible Image Encryption for Military Applications Based on Advanced Encryption Standard Algorithm (AES)

Contact Info

Product

Resources

About