Low Cost Journal,International Peer Reviewed and Refereed Journals,Fast Paper Publication approved journal IJEDR(ISSN 2321-9939)
apply for ugc care approved journal, UGC Approved Journal, ugc approved journal, ugc approved list of journal, ugc care journal, care journal, UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list 2020, ugc care approved journal, ugc care list 2020, new ugc approved journal in 2020,
Low cost research journal, Online international research journal, Peer-reviewed, and Refereed Journals, scholarly journals, impact factor 7.37 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool)
An Analysis of Vector Quantization Based Image Compression Approaches
A.Divya,  Dr. S.Sukumaran
Digital image processing helps in manipulation of the digital images by using computers. The term image compression refers to the process of reducing the amount of data necessary to represent a given quantity of information. Compression methods are rapidly developed to compress large data files such as images. There are two types of compression techniques are lossy and lossless. Vector Quantization is an essential and fundamental technique for lossy image compression. An efficient image compression technique is essential to achieve better compression for storing and transmitting huge multimedia content. The most popular technique used for the image compression is vector quantization (VQ). In this paper, various VQ based image compression techniques are analyzed and attempt to find out best approach among them. The techniques of VQ based image compression, improvement in metrics such as peak signal noise ratio, mean square error, computation time, fitness value, distortion ratio are briefly discussed.
Keywords- Vector Quantization, Image Compression, Compression Ratio, Lossy Compression, Computation Time.
Unique Identification Number - IJEDR1702199Page Number(s) - 1231-1237Pubished in - Volume 5 | Issue 2 | May 2017DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
A.Divya,  Dr. S.Sukumaran,   "An Analysis of Vector Quantization Based Image Compression Approaches"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.1231-1237, May 2017, Available at :http://www.ijedr.org/papers/IJEDR1702199.pdf