Vimala, S.
November 2013
Journal of Dental Materials & Techniques;Nov2013, Vol. 4 Issue 2, p717
Academic Journal
Vector Quantization (VQ) is one of the Lossy Image Compression Techniques. Vector Quantization comprises of three different phases: Codebook Generation, Image Encoding and Image Decoding. The efficiency of VQ depends on the quality of the codebook. In this paper, we have proposed a novel idea for improving the quality of codebook. The codebook is populated with high detail blocks, with which the edges of the objects in an image can be preserved. The high detail blocks are identified based on the maximum and minimum pixel values of the blocks. K-Means clustering method is also used to improve the quality of the codebook. The quality (PSNR) of the reconstructed images by the proposed method is better when compared to that of few existing codebook generation techniques. Standard images are used to test the performance of the proposed method.


Related Articles

  • Convergence Analysis of Codebook Generation Techniques for Vector Quantization using K-Means Clustering Technique. Vimala, S. // International Journal of Computer Applications;May2011, Vol. 21, p16 

    Vector Quantization (VQ) is one of the lossy image compression techniques. VQ comprises of three different phases: Codebook Generation, Image Encoding and Image Decoding. The performance of VQ is mainly based on the codebook generation phase. In this paper, five different codebook generation...

  • Author's Security in Electronic Learning Systems. Naserasadi, Ali // International Journal of Computer Applications;May2011, Vol. 21, p25 

    One of the most effective parameters in Electronic Learning or E-Learning systems' success is the security of these systems. But this feature is ignored in the most of cases. An E-Learning system has different user groups such as authors, teachers and students. Each of these groups has special...

  • A COMPARATIVE EXPERIMENTAL STUDY OF IMAGE COMPRESSION ALGORITHM BASED ON VECTOR QUANTIZATION. Mithlesh, Kumari // International Journal of Engineering & Management Sciences;2012, Vol. 3 Issue 3, p356 

    Image compression is a main field in the development of numerious multi-media computer application and telecommunication services such as video conferencing, and many others areas like interactive education, medical, space research etc . Image compression techniques main aim at removing (or...

  • Vector Quantization of Images. Kruk, E. A.; Sergeev, M. B. // Information & Control Systems / Informazionno-Upravlyaushie Sist;2013, Vol. 64 Issue 3, p93 

    There have been considered opportunities of using codes which correct mistakes in vector quantization problems for image compression. Methods of code selection and image transformation procedures allowing coordination of a code with a certain compressed image have been proposed. It has been...

  • A Novel Vector Quantization Technique Using Block Mining in Image Compression. Zhi-Hui Wang; Chin-Chen Chang; Marcos Segalla Pizzolatti // Advances in Information Sciences & Service Sciences;Jul2012, Vol. 4 Issue 12, p89 

    The Vector quantization (VQ) and side match vector quantization (SMVQ) are two classical techniques used for digital image compression. This paper proposes a new algorithm, called block mining vector quantization (BMVQ), to compress the VQ index table and SMVQ index table. The proposed method...

  • Reversible Data Hiding Scheme for VQ Indices Based on Absolute Difference Trees. Chin-Chen Chang; Thai-Son Nguyen; Chia-Chen Lin // KSII Transactions on Internet & Information Systems;Jul2014, Vol. 8 Issue 7, p2572 

    Reversible data hiding is a technique for recovering original images without any distortion after secret data are extracted from the image. The technique continues to attract attention from many researchers. In this paper, we introduce a new reversible data hiding scheme based on the adjacent...

  • Image coding based on classified vector quantisation using edge orientation patterns. Ya-Pei Feng; Zhe-Ming Lu; Hui Li // IET Image Processing;2017, Vol. 11 Issue 10, p910 

    Vector quantisation (VQ) shows a good performance for image coding with high-compression ratios. However, there are many difficulties for image coding with VQ, especially the edge degradation and high-computational complexity. To resolve these two problems, the authors propose a new coding...

  • Tumour Delineation using Statistical Properties of The Breast US Images and Vector Quantization based Clustering Algorithms. Kekre, H. B.; Shrinath, Pravin // International Journal of Image, Graphics & Signal Processing;Sep2013, Vol. 5 Issue 11, p1 

    Breast cancer is most common and leading cause of death among women. With improvement in the imaging modalities it is possible to diagnose the cancer at an early stage moreover treatment at an early stage reduces the mortality rate. B-mode ultrasound (US) imaging is very illustrious and reliable...

  • Fast codebook design of vector quantisation. Chen, S.X.; Li, F.W. // Electronics Letters;7/19/2012, Vol. 48 Issue 15, p921 

    To reduce the computational overhead of the codebook design of vector quantisation, a fast codebook design method is proposed. In this method, the energy distribution of vectors is improved by rearranging the elements of vectors based on the information of the energy distribution at each...


Read the Article


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

Try another library?
Sign out of this library

Other Topics