Wavelet Transforms
index and self-affine fractals using wavelet transforms
... The wavelet transform behaves like a microscope and de- composes a signal into amplitudes depending on dilations (scale) and translation ...of wavelet transforms along with the property of ...
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New method of Enhancement using Wavelet Transforms applied to SODISM Telescope
... Discrete Wavelet Transforms (DWT) and the input image is applied to the SODISM ...Stationary Wavelet Transform (SWT) into four separate sub-bands in horizontal and vertical directions namely, low-low ...
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Image Resolution Improvement by Using Discrete Wavelet Transforms and Stationary Wavelet Transform
... introduction arranges separately, and afterward by applying IDISCRETE WAVELET TRANSFORMS, as outlined in Fig. 1, the yield image will contain more honed edges than the introduced image got by insertion of ...
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Evolutionary Approach to Improve Wavelet Transforms for Image Compression in Embedded Systems
... (2) Mean Absolute Error (MAE) as Evaluation Figure. PSNR is the quality measure more widely used for image processing tasks. But, as previous works in image filter design via EC show [31], using MAE gives almost ...
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Effect of Varying Embedding Energy and Energy wise Sorting on Watermarking using Wavelet Transforms of Orthogonal Transforms DCT, Walsh and Haar
... using wavelet transforms obtained from popular orthogonal transforms DCT, Walsh and ...orthogonal transforms DCT, Walsh and Haar and with wavelets of the same without sorting the HL and LH ...
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Color Image Steganography using Dual Wavelet Transforms
... discrete wavelet transform (DWT) is any wavelet transform for which the wavelets are discretely sampled[6, ...other wavelet transforms, a key advantage it has over Fourier transforms is ...
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Speech Enhancement with Reduction of Noise Components in the Wavelet Transforms
... of wavelet thresholds, time dependency is introduced by approximating the Teager Energy of the wavelet ...decade, Wavelet Transforms (WT) have been applied to various research areas, ...
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Enhancing the Odd Peaks Detection in OFDM Systems Using Wavelet Transforms
... continuous wavelet transform (CWT) is attained as a sum of time signals multiplied by a scaled and a shifted version of small wavy functions that are proficiently limited duration with an average of ...discrete ...
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Decimated and Undecimated Wavelet Transforms Based Estimation of Images
... ABSTRACT: Estimating the images using wavelet transform is very popular method in different applications. In this paper a new thresholding function is developed with the combination of SCAD function and Soft ...
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ENHANCED PERFORMANCE OF COLOR TO GRAY AND BACK BY USING HYBRID WAVELET TRANSFORMS
... orthogonal wavelet transform has been previously proposed.Hybrid wavelet transform is nothing but combination of two orthogonal transforms such as haar- kekre hybrid wavelet transform is ...
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Are the Wavelet Transforms the Best Filter Banks for Image Compression?
... There are some differences in designing filters in filter banks compared with wavelet transforms. Wavelet filters are designed using associated continuous scaling functions and iterations. The filters ...
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Comparative Analysis of Conventional, Real and Complex Wavelet Transforms for Face Recognition
... Gabor wavelet-based representation of face images is an excellent solution covering most of the above ...Gabor wavelet-based representation is computationally very complex and the memory requirement for ...
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BLOCK FEATURE BASED IMAGE FUSION USING MULTI WAVELET TRANSFORMS
... multi wavelet transform is considered for the multi scale ...Multi wavelet transforms a new filter bank structure where the low pass and high pass filter banks are matrices rather than the ...and ...
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Wavelet transforms on Gelfand Shilov spaces and concrete examples
... of wavelet transforms in the Gelfand-Shilov spaces with the use of a vanishing moment ...Fourier transforms and the wavelet transforms of concrete functions in the Gelfand-Shilov ...
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PERFORMANCE CALCULATION OF WAVELET TRANSFORMS FOR REMOVAL OF BASELINE WANDER FROM ECG
... applying wavelet transforms (Decomposition and Reconstruction) at different scaling and by different wavelet transforms, one important step is applied here is that the approximation ...
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Analysis and Comparison of Wavelet Transforms for Denoising MRI Image
... by wavelet based thresholding techniques for wavelet transforms family ...various wavelet transforms family such as haar, morlet, symlet, Daubechies in denoising a medical imaging ...
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Performance Comparison of Simple Orthogonal Transforms and Wavelet Transforms for Image Steganography
... orthogonal transforms such as DCT and Walsh domain against their wavelet versions namely DCT Wavelet and Walsh wavelet ...using wavelet transforms for steganography achieve much ...
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Image enhancement using Wavelet transforms and SVD
... Here the main role of wavelet transforms is to preserve the HF components. One level DWT can be used to decompose the input image to different sub-bands. While interpolating the HF components, we used ...
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Discrete Wavelet Transforms and Artificial Neural Networks for Recognition of Isolated Spoken Words
... the wavelet transforms is that it has a varying window size, being broad at low frequencies and narrow at high frequencies, thus leading to an optimal time–frequency resolution in all frequency ranges ...of ...
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ECG SIGNAL STEGANOGRAPHY USING WAVELET TRANSFORMS
... Today, remote point of care (PoC) system is intensively used for moderating the medical traffic in hospitals. Dependability and confidentiality of the information’s are the major problem in remote healthcare and PoC ...
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