Multiwavelet-based Image Compression Using Human Visual System Model

Aili Wang; Shaoliang Meng
December 2012
International Proceedings of Computer Science & Information Tech;2012, Vol. 53, p189
Academic Journal
Multiwavelet has some important properties such as orthogonality, symmetry, and short support, which make up for the shortcoming of scalar wavelet. In this paper, we consider the problem of improving the performance of multiwavelet-based image coders combining human visual system (HVS). By taking into account the imperfections inherent to the HVS, HVS weighting is designed to achieve higher compression rate and minimizing distortion due to compression. After multiwavelet transform, coefficients in different subbands are weighted directly by the band-average of the contrast sensitivity function (CSF) curve in the normalized spatial frequency domain, at last multiwavelet-based set partitioning in hierarchical trees (MSPIHT) algorithm is used to code forming embedded bit stream. Experimental results showed our proposed image compression algorithm can get better subject visual quality than the conventional MSPIHT algorithm at the same compression ratio.


Related Articles

  • A STUDY OF IMAGE COMPRESSION BASED TRANSMISSION ALGORITHM USING SPIHT FOR LOW BIT RATE APPLICATION. Chourasiya, Ritu; Shrivastava, Ajit // Advanced Computing;Nov2012, Vol. 3 Issue 6, p47 

    Image compression is internationally recognized up to the minute tools for decrease the communication bandwidth and save the transmitting power. It should reproduce a good quality image after compressed at low bit rates. Set partitioning in hierarchical trees (SPIHT) is wavelet based...

  • A Review on Fractal Image Compression. Negi, Ashish; Garg, Ankit; Agrawal, Akshat // International Journal of Computer Applications;Jan2014, Vol. 85, p25 

    Now a days most of the researchers are doing lots of work in the area of image compression. Fractal image compression requires lots of mathematical computation to compress an image. Fractal image compression is a recent technique based on the representation of an image by a contractive...

  • A predictive algorithm for multimedia data compression. Rad, Reza; Attar, Abdolrahman; Shahbahrami, Asadollah // Multimedia Systems;Mar2013, Vol. 19 Issue 2, p103 

    In lossless image compression, many prediction methods are proposed so far to achieve better compression performance/complexity trade off. In this paper, we concentrate on some well-known and widely used low-complexity algorithms exploited in many modern compression systems, including MED, GAP,...

  • Analysis of MPC Image Compression using DCT 2 in Matlab. Rajeswari, C.; Babu, S.; Venkatesan, P. // International Journal of Computer Applications;Jul2013, Vol. 73 Issue 1-22, p25 

    Image compression is to reduce irrelevance data and redundancy of the image data in order to be able to store or transmit data in an efficient form. Image compression scheme either be in lossy method or lossless method. Lossy algorithms are especially suitable for transmit images across the...

  • Dynamical Nonlinear Neural Networks with Perturbations Modeling and Global Robust Stability Analysis. Elnashar, Gamal A. // International Journal of Computer Applications;Jan2014, Vol. 85, p14 

    This paper is devoted to studying both the global and local stability of dynamical neural networks. In particular, it has focused on nonlinear neural networks with perturbation. Properties relating to asymptotic and exponential stability and instability have been detailed. This paper also looks...

  • Fast fractal image compression based on one-norm of normalised block. He, C.; Yang, S. X.; Xu, X. // Electronics Letters;8/19/2004, Vol. 40 Issue 17, p1052 

    An accelerating algorithm based on one-norm of the normalised block is proposed for fractal image coding. It can catch the best-matched block to a range block with a reduced search. Simulations show that it yields the same or superior quality as the baseline algorithm, while its runtime is...

  • MULTI-RESOLUTION ANALYSIS FOR MEDICAL IMAGE COMPRESSION. Alhanjouri, Mohammed // International Journal of Computer Science & Information Technolo;Dec2011, Vol. 3 Issue 6, p215 

    The improvement in image compression filed is mainly related to the need of rapid and efficient techniques for the storage and transmission of data among individuals. To obtain the maximal capabilities of storage and transmission, different compression algorithms should be compared to find the...

  • Performance Metrics of a Reconfigurable Fabric. Abu-Faraj, Mua'ad // International Journal of Computer Science Issues (IJCSI);Nov2013, Vol. 10 Issue 6, p222 

    Performance metrics of reconfigurable systems have largely focused on the relative performance of specific algorithms on the fabric compared against the same algorithm on a general-purpose processor or ASIC device. Here we introduce a number of metrics, which relate purely to the act and cost of...

  • Lossy-to-Lossless Compression of Hyperspectral Image Using the 3D Set Partitioned Embedded ZeroBlock Coding Algorithm. Ying Hou // Journal of Software Engineering & Applications;Jul2009, Vol. 2 Issue 2, p86 

    In this paper, we propose a three-dimensional Set Partitioned Embedded ZeroBlock Coding (3D SPEZBC) lossy-to-lossless compression algorithm for hyperspectral image which is an improved three-dimensional Embedded ZeroBlock Coding (3D EZBC) algorithm. The algorithm adopts the 3D integer wavelet...


Read the Article


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

Try another library?
Sign out of this library

Other Topics