In this paper, a novel wavelet subtree partitioning algorithm is proposed, which divides a subtree into scalar quantized wavelet coefficients and fractal coded sub-subtree. Based on this new technique, a variable size wavelet subtree fractal coding scheme for still image compression is developed. Experimental results show that the new scheme can achieve nearly optimal partition of wavelet subtr...

Subband coding has been successfully used for image and video applications. This paper emphasizes two design issues of a subband codec. Namely, the selection of the lterbank family and the width of zero-zones in zero-zone linear quantizers. It is shown that the shift only lters (Multiplierless PR-QMF) performs as good as other popular lterbank families. Finally, the signi cance of the quantizer...

Automated classification of brain MRI is important for the analysis of tumor. In this paper magnetic resonance imaging (MRI) is considered to solve the problem of automatic classification of brain images. It presents the classification system with three stages. It consists of discrete wavelet decomposition of the image, texture feature extraction from the LH and HL sub bands and final classific...

This paper presents a resolution method for enhancing digital gray images. The proposed enhancement technique is based on the interpolation of the high frequency sub-bands obtained by DWT and SWT. The proposed technique uses DWT to decompose an image into different sub-bands, and then the high frequency sub-band images have been interpolated. The interpolated high frequency sub-band coefficient...

Wavelet ree based watermarking algorithms are using the wavelet coefficient energy difference for copyright protection and ownership verification. WTQ (Wavelet Tree Quantization) algorithm is the representative technique using energy difference for watermarking. According to the cryptanalysis on WTQ, the watermark embedded in the protected image can be removed successfully. In this paper, we pr...

BACKGROUND Ischemic heart disease is one of the common fatal diseases in advanced countries. Because signal perturbation in healthy people is less than signal perturbation in patients, entropy measure can be used as an appropriate feature for ischemia detection. METHODS Four entropy-based methods comprising of using electrocardiogram (ECG) signal directly, wavelet sub-bands of ECG signals, ex...

This paper presents a lossy, wavelet-based approach for the compression of digital angiogram video. An analysis of the high-frequency sub-bands of a wavelet decomposition of an angiogram image reveals significantly sized regions containing no diagnostically important information. The encoding of the high-frequency sub-band wavelet coefficients in such regions proves to be burdensome, although i...

Background: Many investigations based on nonlinear methods have been carried out for the research of seizure detection. However, some of these nonlinear measures cannot achieve satisfying performance without considering the basic rhythms of epileptic EEGs. New method: To overcome the defects, this paper proposed a framework on wavelet-based nonlinear features and extreme learning machine (ELM) ...

Satellite image is used in many applications such as geosciences studies, astronomy and geographical information systems. The most important quality factors in images come from its resolution. The satellite image enhancement technique using Discrete Wavelet Transform and Singular Value Decomposition. This Techniques decomposes the input image into four frequency sub band by using Discrete Wavel...