Journal of Physics: Conference Series, 2021 Abstract Data security pays more attention in most of the communication fields. Image steganography is one of the leading data security techniques that provides confidentiality with high embedding capacity and high steganography image quality.
K. Priya +3 more
openaire +1 more source
A study of discrete wavelet transform based denoising to reduce the effect of artificial light interferences for indoor optical wireless communication [PDF]
, 2010 The optical power penalty (OPP) due to the artificial light interferences (ALIs) can be significantly high in an indoor optical wireless communication (OWC) channel making such link practically infeasible.
Angelova, Maia +2 more
core +1 more source
Measuring the galaxy power spectrum and scale-scale correlations with multiresolution-decomposed covariance -- I. method [PDF]
, 2000 We present a method of measuring galaxy power spectrum based on the multiresolution analysis of the discrete wavelet transformation (DWT). Since the DWT representation has strong capability of suppressing the off-diagonal components of the covariance for
Aubry N. +8 more
core +2 more sources
Comments on "phase-shifting for nonseparable 2-D haar wavelets" [PDF]
, 2009 In their recent paper, Alnasser and Foroosh derive a wavelet-domain (in-band) method for phase-shifting of 2-D "nonseparable" Haar transform coefficients. Their approach is parametrical to the (a priori known) image translation.
Andreopoulos, Y
core +1 more source
On the energy leakage of discrete wavelet transform [PDF]
, 2008 The energy leakage is an inherent deficiency of discrete wavelet transform (DWT) which is often ignored by researchers and practitioners. In this paper, a systematic investigation into the energy leakage is reported.
Abry +27 more
core +1 more source
Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data [PDF]
, 2012 Biomarkers which predict patient’s survival can play an important role in medical diagnosis and treatment. How to select the significant biomarkers from hundreds of protein markers is a key step in survival analysis.
Aickelin, Uwe +3 more
core +3 more sources
Wavelet Integrated CNNs for Noise-Robust Image Classification
, 2020 Convolutional Neural Networks (CNNs) are generally prone to noise interruptions, i.e., small image noise can cause drastic changes in the output. To suppress the noise effect to the final predication, we enhance CNNs by replacing max-pooling, strided ...
Guo, Sheng +3 more
core +1 more source
Constrain intergalactic medium from the SZ effect map [PDF]
, 2006 In this paper, we try to detect the SZ effect in the 2MASS DWT clusters and less bound objects in order to constrain the warm-hot intergalactic medium distribution on large scales by cross-correlation analysis.
Cao, Liang, Chu, Yao-Quan, Zuo, Wei
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Cutting tool tracking and recognition based on infrared and visual imaging systems using principal component analysis (PCA) and discrete wavelet transform (DWT) combined with neural networks [PDF]
, 2015 The implementation of computerised condition monitoring systems for the detection cutting tools’ correct installation and fault diagnosis is of a high importance in modern manufacturing industries. The primary function of a condition monitoring system is
A Al-Habaibeh +24 more
core +1 more source
Wavelet—Artificial Neural Network Receiver for Indoor Optical Wireless Communications [PDF]
, 2011 The multipath induced intersymbol interference (ISI) and fluorescent light interference (FLI) are the two most important system impairments that affect the performance of indoor optical wireless communication (OWC) systems.
Angelova, Maia +2 more
core +1 more source