Khan, Ekram; Arshad, Irshad A.; Varshney, Taru
June 2010
Journal of Applied Quantitative Methods;2010, Vol. 5 Issue 2, p350
Academic Journal
Set- Partitioning in Hierarchical Trees (SPIHT) is a state-of-art zero-tree based image coder with excellent rate-distortion performance in the noise free environments. However in presence of noise they are extremely sensitive to the bit errors. Even a single bit error may lead a substantial degradation in the quality. Our investigations reveal that the use of three linked lists in SPIHT increases the inter-bitplane dependencies of bits and therefore causes the errors to propagate down the bitstream. In this paper we propose amodified coder which uses only a single list. The list is initialized, processed and exhausted within each bit-plane, thereby removing dependencies of inter-plane bits. The proposed coder is known as Single List SPIHT (SL-SPIHT) image coder. Additionally, this coder is memory efficient as compared to the SPIHT. Simulation results show that under the same channel conditions, SL-SPIHT can improve the quality of reconstructed image by 5-6 dB compared to that of SPIHT.


Related Articles

  • Error Estimation Using Wavelet Analysis for Data Assimilation: EEWADAi*. Jameson, Leland; Waseda, Takuji // Journal of Atmospheric & Oceanic Technology;Sep2000, Vol. 17 Issue 9, p1235 

    A new method is presented for estimating numerical errors in simulations as a function of space and time. This knowledge of numerical errors can provide critical information for the effective assimilation of external data. The new method utilizes wavelet analysis for the detection of deviation...

  • Visually Improved Image Compression by Combining EZW Encoding with Texture Modeling using Huffman Encoder. Kale, Vinay U.; Deshmukh, Shirish M. // International Journal of Computer Science Issues (IJCSI);May2010, Vol. 7 Issue 3, p28 

    This paper proposes a technique for image compression which uses the Wavelet-based Image/Texture Coding Hybrid (WITCH) scheme [1] in combination with Huffman encoder. It implements a hybrid coding approach, while nevertheless preserving the features of progressive and lossless coding. The hybrid...

  • Biorthogonal M -Channel Compactly Supported Wavelets. Soardi, P. M. // Constructive Approximation;Apr2000, Vol. 16 Issue 2, p283 

    We study a class of M -channel subband coding schemes with perfect reconstruction. Along the lines of [8] and [10], we construct compactly supported biorthogonal wavelet bases of L[sup 2] (R) , with dilation factor M , associated to these schemes. In particular, we study the case of splines, and...

  • Object Detection Using the Statistics of Parts. Schneiderman, Henry; Kanade, Takeo // International Journal of Computer Vision;Feb/Mar2004, Vol. 56 Issue 3, p151 

    In this paper we describe a trainable object detector and its instantiations for detecting faces and cars at any size, location, and pose. To cope with variation in object orientation, the detector uses multiple classifiers, each spanning a different range of orientation. Each of these...

  • Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches. Cormode, Graham; Garofalakis, Minos; Haas, Peter J.; Jermaine, Chris // Foundations & Trends in Databases;2011, Vol. 4 Issue 1-3, p1 

    Methods for Approximate Query Processing (AQP) are essential for dealing with massive data. They are often the only means of providing interactive response times when exploring massive datasets, and are also needed to handle high speed data streams. These methods proceed by computing a lossy,...

  • Wavelets.  // Foundations & Trends in Databases;2011, Vol. 4 Issue 1-3, p144 

    The article presents information on wavelet, a mathematical tool for extracting information from many different kinds of data including audio signals and images. It discusses the construction and properties of wavelet synopses optimized for L2 (sum-squared) error metrics. It further describes...

  • Iterative Feature Selection for Classification. Stambouli, T. B.; Keche, M.; Ouamri, A. // Journal of Applied Sciences;2010, Vol. 10 Issue 11, p1015 

    In this study, we address the problem of image classification by using Bayes distance. We focus on the feature selection and we propose an iterative method which give significant improvements and allow the use of features provided by Gabor Transform in spite of its implicit redundancy. Only, a...

  • Image Compression Using Adaptive Primal and Dual Lifting Scheme Based on Mean Square Error Minimization. Satyabama, R.; Annadurai, S. // European Journal of Scientific Research;10/30/2011, Vol. 63 Issue 1, p99 

    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. Wavelet transform has...

  • A Wavelet Method for the Cauchy Problem for the Helmholtz Equation. Dou, Fang-Fang; Fu, Chu-Li // ISRN Applied Mathematics;2012, p1 

    We consider a Cauchy problem for the Helmholtz equation at a fixed frequency. The problem is severely ill posed in the sense that the solution (if it exists) does not depend continuously on the data. We present awaveletmethod to stabilize the problem. Some error estimates between the exact...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics