An Image fusion method based on segmentation region is proposed in this paper. First, the source images are decomposed by wavelet to get the approximate and detailed sub-images, and the segmentation by watershed method for these sub-images are used to get the regions of each level, these regions are used to guide fusion process. The activity level and match degree measure of the wavelet coeffic...

This paper proposes an improved voice activity detection (VAD) algorithm using wavelet and support vector machine (SVM) for European Telecommunication Standards Institution (ETSI) adaptive multi-rate (AMR) narrow-band (NB) and wide-band (WB) speech codecs. First, based on the wavelet transform, the original IIR filter bank and pitch/tone detector are implemented, respectively, via the wavelet f...

In the present work we analyze the performance of orthogonal and Biorthogonal wavelet for electrocardiogram (ECG) compression. Both types of wavelets applied on different types of records taken from MIT-BIH database. A thresholding algorithm based on energy packing efficiency of the wavelet coefficients is used to threshold the wavelet coefficients. We divide wavelet coefficients in two groups ...

In this paper, the literature published on lossy compression of seismic data using the popular subband coding technique is reviewed. The strong links between subband coding, transform coding, and the more recent discrete wavelet transform coding are described. The performance of seismic data subband coding depends on the proper choice of lter bank and frequency partitioning in the subband domai...

To predict the time series, a model combining the wavelet transform and support vector machine is set up. First, wavelet transform is applied to decompose the series into sub series with different time scales. Then, the SVM is applied to the sub series to simulate and predict future behavior. And then by the inverse wavelet transform, the series are reconstructed, which is the prediction for th...

This paper proposes an embedded rate scalable wavelet-based image coding algorithm. We introduce a simple and efficient approach for coding the positions and the signs of the wavelet coefficients that will be transmitted as nonzero values in an embedded scheme. This algorithm is based on recursive partitioning of the significant wavelet sub-bands (RPSWS). The proposed algorithm produces a fully...

Abstract—A multi-scale texture segmentation algorithm for SAR images based on the discrete wavelet transform is presented. Responses from different sub-bands are used to form a feature vector for each pixel position that is the input to the classification scheme. To further improve the classification results, the tree-structured wavelet packet transform is used to automatically identify a suita...

In this paper the problem of object coding is addressed. In order to satisfy the needs of new applications in a multi-resolution environment the problem of object{oriented coding has to be addressed. In this paper a new approach of object coding is proposed. It is based on an arbitrarily{shaped subband transform followed by a generalized embedded zerotree wavelet algorithm. It is shown in the p...

A watermarking scheme is presented to embed watermarks into wavelet DC components. The DC area is not suitable for embedding watermark because of severe visual degradation. To overcome degradation problem, we embed watermark into visually insensitive locations. To detect visually insensitive locations, we perform medianfiltering to the lowest frequency sub-band of wavelet transform. The robustn...

This paper presents the Discrete Wavelet based fusion techniques for combining perceptually important image features. SPIHT (Set Partitioning in Hierarchical Trees) algorithm is an efficient method for lossy and lossless coding of fused image. This paper presents some modifications on the SPIHT algorithm. It is based on the idea of insignificant correlation of wavelet coefficient among the medi...