Results 11 to 20 of about 517,038 (215)
Coding Implementation By Using Discrete Wavelet Transform [PDF]
Engineering and Technology Journal, 2010 Image processing can be considered as an essential part of wide rangecomputer applications. This application deals with image coding and it discussesimage coding schemes, by using transforms to code the image or not.
Matheel Emad AL-Deen AL-Dargazli +1 more
doaj +2 more sources
DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 Hazy images are often subject to color distortion, blurring, and other visible quality degradation. Some existing CNN-based methods have great performance on removing homogeneous haze, but they are not robust in non-homogeneous case.
M. Fu +4 more
semanticscholar +1 more source
Pearson Correlation and Discrete Wavelet Transform for Crack Identification in Steel Beams
Mathematics, 2022 Discrete wavelet transform is the useful means for crack identification of beam structures. However, its accuracy is severely dependent on the selecting mother wavelet and vanishing moments, which raises a significant challenge in practical structural ...
Morteza Saadatmorad +4 more
semanticscholar +1 more source
The continuous generalized wavelet transform associated with q-Bessel operator
Boletim da Sociedade Paranaense de Matemática, 2022 The continuous generalized wavelet transform associated with -Bessel operator is defined, which will invariably be called continuous -Bessel wavelet transform .
M. M. Dixit +2 more
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Lightweight Denoising Autoencoder Design for Noise Removal in Electrocardiography
IEEE Access, 2022 This study proposes two denoising autoencoder models with discrete cosine transform and discrete wavelet transform, to remove electrode motion artifacts in noisy electrocardiography. Initially, the discrete cosine transform and discrete wavelet transform
Ming-Hwa Sheu +5 more
doaj +1 more source
Signal Processing Algorithm Based on Discrete Wavelet Transform
Designs, 2021 The use of digital technologies for processing and diagnosing electrocardiogram signals using wavelet-analysis can significantly improve the efficiency and quality of parameter estimations of the pacemaker configuration during implantation.
A. Osadchiy +3 more
semanticscholar +1 more source
Optimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused images [PDF]
Serbian Journal of Electrical Engineering, 2010 The fast development of digital image processing leads to the growth of feature extraction of images which leads to the development of Image fusion. The process of combining two different images into a new single image by retaining salient features from ...
Kannan Kanagaraj +2 more
doaj +1 more source
Image Compression Using 3-D Two-Level Technique
Journal of Engineering, 2023 In this paper three techniques for image compression are implemented. The proposed techniques consist of three dimension (3-D) two level discrete wavelet transform (DWT), 3-D two level discrete multi-wavelet transform (DMWT) and 3-D two level hybrid ...
Zainab Ibraheem Abood
doaj +1 more source
Techno.Com, 2022 Denoising adalah cara dalam menghilangkan noise yang ada pada sinyal elektrodiagram, sehingga gelombang yang ada pada elektrodiagram dapat dianalisis dengan menggunakan mesin untuk mendapatkan prediksi penyakit jantung yang diderita.
Febriyanti Panjaitan, Rizki Amalia
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Italian National Conference on Sensors, 2020 Analysis of electroencephalogram (EEG) signals is essential because it is an efficient method to diagnose neurological brain disorders. In this work, a single system is developed to diagnose one or two neurological diseases at the same time (two-class ...
F. Alturki +3 more
semanticscholar +1 more source