Analysis of dual tree M‐band wavelet transform based features for brain image classification
Sign Up to like & getrecommendations! Published in 2018 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27210
Abstract: The most complex organ in the human body is the brain. The unrestrained growth of cells in the brain is called a brain tumor. The cause of a brain tumor is still unknown and the… read more here.
Keywords: tree band; band wavelet; wavelet transform; analysis dual ... See more keywords
Interpretation attributes derived from airborne electromagnetic inversion models using the continuous wavelet transform
Sign Up to like & getrecommendations! Published in 2018 at "Near Surface Geophysics"
DOI: 10.1002/nsg.12018
Abstract: Planning, contracting, data acquisition and processing plus the inverter’s quality assessment and inversion of a regional airborne electromagnetic survey may take some months, while the interpretation of the results is a considerably more complex and… read more here.
Keywords: inversion; continuous wavelet; interpretation; airborne electromagnetic ... See more keywords
Compressive sensing MRI reconstruction using empirical wavelet transform and grey wolf optimizer
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3812-7
Abstract: Magnetic resonance imaging (MRI) has exhibited an outstanding performance in the track of medical imaging compared to several imaging modalities, such as X-ray, positron emission tomography and computed tomography. MRI modality suffers from protracted scanning… read more here.
Keywords: image; grey wolf; wavelet transform; empirical wavelet ... See more keywords
Advances in computer–human interaction for detecting facial expression using dual tree multi band wavelet transform and Gaussian mixture model
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05037-9
Abstract: In human communication, facial expressions play an important role, which carries enough information about human emotions. Last two decades, it becomes a very active research area in pattern recognition and computer vision. In this type… read more here.
Keywords: dual tree; facial expressions; band wavelet; wavelet transform ... See more keywords
A novel audio watermarking scheme using ensemble-based watermark detector and discrete wavelet transform
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05389-2
Abstract: Most existing extraction techniques in audio watermarking use conventional techniques in which some sets of special rules based on reverse embedding rules are used for watermark extraction and have many weaknesses, like very low robustness… read more here.
Keywords: extraction; based watermark; wavelet transform; discrete wavelet ... See more keywords
Statistical downscaling of precipitation in northwestern Iran using a hybrid model of discrete wavelet transform, artificial neural networks, and quantile mapping
Sign Up to like & getrecommendations! Published in 2024 at "Theoretical and Applied Climatology"
DOI: 10.1007/s00704-024-05033-2
Abstract: Downscaling of daily precipitation from Global Circulation Models (GCMs)-predictors at a station level, especially in arid and semi-arid regions, has remained a formidable challenge yet. The current study aims at proposing a coupled model of… read more here.
Keywords: dwt ann; precipitation; wavelet transform; model ... See more keywords
Wide-stripe noise removal method of hyperspectral image based on fusion of wavelet transform and local interpolation
Sign Up to like & getrecommendations! Published in 2017 at "Optical Review"
DOI: 10.1007/s10043-017-0318-y
Abstract: The principle of hyperspectral imaging leads to a variety of stripe noise in hyperspectral images, especially the wide-stripe noise, which brings great obstacles to the interpretation and application of hyperspectral images. Aiming at the wide-stripe… read more here.
Keywords: wide stripe; local interpolation; stripe noise; wavelet transform ... See more keywords
Hybrid two-dimensional dual tree—biorthogonal wavelet transform and discrete wavelet transform with fuzzy inference filter for robust remote sensing image compression
Sign Up to like & getrecommendations! Published in 2018 at "Cluster Computing"
DOI: 10.1007/s10586-018-1982-9
Abstract: Image compression plays a crucial role in digital image processing, it is also very important for efficient transmission and storage of images. In particular, remote sensing makes it possible to collect image data on dangerous… read more here.
Keywords: wavelet transform; compression; image; image compression ... See more keywords
Polar Wavelet Transform and the Associated Uncertainty Principles
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Theoretical Physics"
DOI: 10.1007/s10773-018-3703-9
Abstract: The polar wavelet transform– a generalized form of the classical wavelet transform has been extensively used in science and engineering for finding directional representations of signals in higher dimensions. The aim of this paper is… read more here.
Keywords: wavelet; wavelet transform; uncertainty principles; polar wavelet ... See more keywords
An Image Denoising Technique using Quantum Wavelet Transform
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Theoretical Physics"
DOI: 10.1007/s10773-020-04590-2
Abstract: The amalgamation of ‘Quantum computing’ with image processing represents the various ways of handling images for different purposes. In this paper,an image denoising scheme based on quantum wavelet transform is proposed.A noisy image is embedded… read more here.
Keywords: wavelet coefficients; image; wavelet transform; quantum wavelet ... See more keywords
Denoising Brain Images with the Aid of Discrete Wavelet Transform and Monarch Butterfly Optimization with Different Noises
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical Systems"
DOI: 10.1007/s10916-018-1069-4
Abstract: The aim of this paper is to denoise the high noise density image proficiently with minimal computation cost using various techniques. This paper proposes an approach for image denoising based on Discrete Wavelet Transform (DWT)… read more here.
Keywords: wavelet transform; butterfly optimization; optimization; monarch butterfly ... See more keywords