Research ArticleOpen accessIn the abstractFINGER KNUCKLE-PRINT IDENTIFICATION BASED ON LOCAL AND GLOBAL FEATURE EXTRACTION USING SDOSTN. B. Mahesh Kumar, K. PremalathaFinger knuckle-print biometric system has widely used in modern e-world. The region of interest is needed as the key for the feature extraction in a good biometric system. The symmetric discrete orthonormal stockwell transform provides the computational efficiency and multi-scale information of wavelet transforms, while providing texture features in terms of Fourier frequencies. It outperforms leading wavelet-based texture analysis methods. … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 3 Apr 2014 · 6,927 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Evaluation of Adaptive Filter and Neuro-Fuzzy Filter in Artifacts Removal From Electroencephalogram SignalPaulchamy Balaiah, IlavennilaProblem statement: This study presents an effective method for removing mixed artifacts (EOG-Electro-ocular gram, ECG-Electrocardiogram, EMG-Electromyogram) from the EEG-Electroencephalogram records. The noise sources increases the difficulty in analyzing the EEG and obtaining clinical information. EEG signals are multidimensional, non-stationary (i.e., statistical properties are not invariant in time), time domain biological signals, which are not reproducible. It is supposed to contain … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 15 Aug 2012 · 7,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Compression Algorithms Using Intensity Based Adaptive Quantization CodingSaad Al-Azawi, Said Boussakta, Alex YakovlevProblem statement: Low complexity image compression algorithms are necessary for modern portable devices such as mobile phones, wireless sensor networks and high constraint power consumption devices. In such applications low bit rate along with an acceptable image quality are an essential requirements. Approach: This study proposes low and moderate complexity algorithms for colour image compression. Two algorithms will be presented; … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 4 · 18 Jan 2012 · 8,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Compression using Space Adaptive Lifting SchemeRamu Satyabama, AnnaduraiProblem statement: Digital images play an important role both in daily life applications as well as in areas of research and technology. Due to the increasing traffic caused by multimedia information and digitized form of representation of images; image compression has become a necessity. Approach: Wavelet transform has demonstrated excellent image compression performance. New algorithms based on Lifting style implementation … …Journal of Computer Science, Vol. 7, Issue 11 · 29 Aug 2011 · 7,143 accessesView PDFCite
Research ArticleOpen accessIn the abstractMedical Image Compression Using Fuzzy C-Means Based Contourlet TransformM. Tamilarasi, V. PalanisamyProblem statement: To meet the demand for high speed transmission of image in efficient image storage and remote medical treatment, the efficient image compression is essential. The contourlet transform along with wavelet theory has great potential in medical image compression. Approach: The significant portion of the medical image applied with Fuzzy C-means based contourlet transform. DWT applied to the rest … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,082 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuality Evaluation of Reconstructed Biological SignalsMikhled Alfaouri, Khaled Daqrouq, Ibrahim N. Abu-Isbeih et al.This research presents the use of wavelet transforms for reconstructed signal evaluation for biological signals. The method adapted on this research, is a new modeling technique and based on calculating the reconstruction error of the wavelet transform sub-signals that have different frequency bands and different deformation degree. The paper processes a special set of application in biomedical field, called Electrocardiogram … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 9,107 accessesView PDFCite
Research ArticleOpen accessIn the abstractSkeleton Primitive Extraction Method on Textures with Different Nonlinear WaveletsV. V. Kumar, U. S.N. Raju, P. Premchand, A. SureshProblem Statement: A novel method for dominant skeleton extraction of textures using different nonlinear wavelet transforms is proposed in this study. In the present study 3×3 masks are used for extraction of skeleton primitives. For a 3×3 skeleton primitive there will be 29 skeleton primitive combinations. But the present study considered a skeleton primitive for the skeletonization purpose if and … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 6,808 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Recognition Using Combination of Discrete Multi_Wavelet and Wavenet TransformDr Mikhled AlfaouriFocus of the method was to present image identification and labeling using new combination of dynamic transforms. This method is based on using the combination of the Discrete Multi-wavelet Transform (DMWT) and Wavenet Transform (WN). In this method, the resulting coefficients were computed by the proposed multi-wavelets transform for single-level decomposition. The low pass sub bands of the upper left … …American Journal of Applied Sciences, Vol. 5, Issue 4 · 30 Apr 2008 · 7,088 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombined DWT-DCT Digital Image WatermarkingAli Al-HajThe proliferation of digitized media due to the rapid growth of networked multimedia systems, has created an urgent need for copyright enforcement technologies that can protect copyright ownership of multimedia objects. Digital image watermarking is one such technology that has been developed to protect digital images from illegal manipulations. In particular, digital image watermarking algorithms which are based on the … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 18,200 accessesView PDFCite