AIA
2006
14 years 1 months ago
2006
This paper proposes a speech comprehension computational model based on neurocognitiveresearches. The computational representation uses techniques as wavelets transform and connec...
AAAI
2006
14 years 1 months ago
2006
Human motion is as much characterized by its low frequency shape as by its high frequency temporal discontinuities
EUROMICRO
2000
IEEE
14 years 4 months ago
2000
IEEE
This paper suggests a novel image compression scheme, using the discrete wavelet transformation (DWT) and the fuzzy c-means clustering technique. The goal is to achieve higher com...
ICMCS
2006
IEEE
14 years 6 months ago
2006
IEEE
An adaptive robust image watermarking technique for color image authentication is proposed. In the proposed approach, the Y channel of a Yuv color host image and a concatenated RG...
IJCNN
2007
IEEE
14 years 6 months ago
2007
IEEE
— In this paper, a method based on wavelet coefficients in low-pass bands is proposed for the image classification with adaptive processing of data structures to organize a large...
ICMCS
2007
IEEE
14 years 6 months ago
2007
IEEE
An original hierarchical watermarking scheme is proposed in this paper. A geometrically robust watermark and a high-capacity watermark are inserted in different resolution levels ...
ICIAP
2001
Springer
15 years 16 days ago
2001
Springer
An algorithm for automatic modelling of wavelet coefficients from context properties is presented. The algorithm is used to implement an image coder, in order to demonstrate its i...
SIGMOD
2003
ACM
15 years 17 days ago
2003
ACM
While work in recent years has demonstrated that wavelets can be efficiently used to compress large quantities of data and provide fast and fairly accurate answers to queries, lit...
ISBI
2004
IEEE
15 years 1 months ago
2004
IEEE
Ultrasound images are corrupted by a multiplicative noise, the speckle, which makes high level analysis difficult. Within each resolution cell a number of elementary scatterers re...
ICIP
2009
IEEE
15 years 1 months ago
2009
IEEE
Existing wavelet-based image denoising techniques all assume a probability model of wavelet coefficients that has zero mean, such as zero-mean Laplacian, Gaussian, or generalized ...