Results 41 to 50 of about 26,801 (192)

Bayesian wavelet de-noising with the caravan prior [PDF]

open access: yes, 2019
According to both domain expert knowledge and empirical evidence, wavelet coefficients of real signals tend to exhibit clustering patterns, in that they contain connected regions of coefficients of similar magnitude (large or small). A wavelet de-noising
Gugushvili, Shota   +3 more
core   +3 more sources

Artificial Intelligent Techniques with Watermarking [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2009
This research presents three robust blind watermarking algorithms in the discrete wavelet transform and spatial domain based on neural network and fuzzy logic artificial intelligent techniques.
Nada Saleem   +2 more
doaj   +1 more source

A novel fast algorithm based on SMDWT for visual processing applications [PDF]

open access: yes
[[abstract]]This work presents a fast algorithm, namely 2-D symmetric mask-based discrete wavelet transform (SMDWT), to address some critical issues of the 2-D discrete wavelet transform (DWT).
Hsia, Chih-Hsien
core   +1 more source

The DLMT. An alternative to the DCT [PDF]

open access: yes, 2011
In the last recent years, with the popularity of image compression techniques, many architectures have been proposed. Those have been generally based on the Forward and Inverse Discrete Cosine Transform (FDCT, IDCT).
Aledo Ortega, David   +1 more
core   +1 more source

Frequency-Energy Characteristics Of Local Earthquakes Using Discrete Wavelet Transform(Dwt)

open access: yes, 2006
{"references": ["O. Kulhanek, \"Anatomy of Seismograms\", Elsevier Science Publishers,\nNetherlands, (1990).", "U. F. Dowla, S. K. Anant, \"Wavelet Transform Methods for Phase\nIdentification in Three Component Seismograms\", Bulletin of\nSeismological Society of America, Vol. 87, No. 6., pp. 1598-1612,\nDecember (1997).", "Z. Du, G. R. Foulger, F. Mao,
Colak, O. H.   +4 more
openaire   +2 more sources

Image Enhancement Based on Discrete Cosine Transforms (DCT) and Discrete Wavelet Transform (DWT): A Review

open access: yesIOP Conference Series: Materials Science and Engineering, 2019
Abstract Image enhancement is an important topic in image analysis in order to help humans and computer vision algorithms to obtain an accuracy information for analysis. The visual quality and certain image properties, such as brightness, contrast, signal to noise ratio, resolution, edge sharpness, and colour accuracy were improved ...
Wan Azani Mustafa   +6 more
openaire   +1 more source

Robust image hashing using SIFT feature points and DWT approximation coefficients

open access: yesICT Express, 2018
This study proposes a robust hashing method using scale-invariant feature transform (SIFT) features points and discrete wavelet transform (DWT) approximation coefficients for image authentication.
Lokanadham Naidu Vadlamudi   +2 more
doaj   +1 more source

Video Resolution Enhancement using DWT, SWT and CLAHE [PDF]

open access: yes, 2017
One of an image details which has been always an vital concern in various image and video-processing applications, such as video resolution enhancement, feature extraction, and satellite image resolution enhancement is resolution.
L, S. (SWETHA), M, S. (SWETHA)
core  

Watermarking for multimedia security using complex wavelets [PDF]

open access: yes, 2010
This paper investigates the application of complex wavelet transforms to the field of digital data hiding. Complex wavelets offer improved directional selectivity and shift invariance over their discretely sampled counterparts allowing for better ...
Bouridane, Ahmed   +3 more
core   +2 more sources

Perbandingan Kinerja Citra Watermarking Dengan Menggunakan Metode Discrete Wavelet Transform (DWT) Dan Discrete Cosinus Transform (DCT) [PDF]

open access: yes, 2008
The Research we propose is to compare watermarking method using Discrete Wavelet Transform (DWT) with Discrete Cosinus Transform (DCT). From these two methods, we will see the comparison of image has been given watermarking.
Baharuddin, B. (Baharuddin)
core  

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