Improving Multi-Histogram-Based Reversible Watermarking Using Optimized Features and Adaptive Clustering Number
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3009275
Abstract: For the multi-histogram-based reversible watermarking (MHRW) scheme, the performance greatly depends on the multi-histogram construction, which remains a challenge in this field. To generate more desirable multi-histograms, this paper improves the MHRW using the Fuzzy… read more here.
Keywords: clustering number; multi histogram; reversible watermarking; based reversible ... See more keywords
Separability of Histogram Based Features for Optical Performance Monitoring: An Investigation Using t-SNE Technique
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2019.2913687
Abstract: In this paper, we study the separability of the commonly used features to monitor the performance of optical signal in coherent optical systems. Specifically, our study focuses on the histogram-based features; the asynchronous amplitude histogram… read more here.
Keywords: using sne; performance; separability; based features ... See more keywords
Informed Histogram-Based Watermarking
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.2965331
Abstract: The existing works on histogram-based watermark embedding share the common notions of non-informed random host sample selection and uniform embedding, resulting in limited and yet similar performances. This letter develops two methods to improve imperceptibility… read more here.
Keywords: uniform embedding; informed histogram; based watermarking; histogram based ... See more keywords
Histogram-Based Intrusion Detection and Filtering Framework for Secure and Safe In-Vehicle Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3088998
Abstract: In this paper, we propose H-IDFS, a Histogram-based Intrusion Detection and Filtering framework, which assembles the CAN packets into windows, and computes their corresponding histograms. The latter are fed to a multi-class IDS classifier to… read more here.
Keywords: intrusion detection; based intrusion; histogram based; detection filtering ... See more keywords
Orientation Histogram-Based Center-Surround Interaction: An Integration Approach for Contour Detection
Sign Up to like & getrecommendations! Published in 2017 at "Neural Computation"
DOI: 10.1162/neco_a_00911
Abstract: Contour is a critical feature for image description and object recognition in many computer vision tasks. However, detection of object contour remains a challenging problem because of disturbances from texture edges. This letter proposes a… read more here.
Keywords: histogram based; orientation histogram; orientation; based center ... See more keywords
Histogram Based Clustering for Nonlinear Compensation in Long Reach Coherent Passive Optical Networks
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DOI: 10.3390/app10010152
Abstract: In order to meet the increasing capacity requirements, network operators are extending their optical infrastructure closer to the end-user while making more efficient use of the resources. In this context, long reach passive optical networks… read more here.
Keywords: histogram based; coherent; optical networks; long reach ... See more keywords
Method-Induced Errors in Fractal Analysis of Lung Microscopic Images Segmented with the Use of HistAENN (Histogram-Based Autoencoder Neural Network)
Sign Up to like & getrecommendations! Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8122356
Abstract: The designing of Computer-Aided Diagnosis (CADx) is necessary to improve patient condition analysis and reduce human error. HistAENN (Histogram-based Autoencoder Neural Network, the first hierarchy level) and the fractal-based estimator (the second hierarchy level) are… read more here.
Keywords: histogram based; analysis; histaenn histogram; method ... See more keywords