ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2012 by IJETT Journal
Volume-3 Issue-3                          
Year of Publication : 2012
Authors :  D.Malarvizhi , Dr.K.Kuppusamy


D.Malarvizhi , Dr.K.Kuppusamy. "A NEW ENTROPY ENCODING ALGORITHM FOR IMAGE COMPRESSION USING DCT". International Journal of Engineering Trends and Technology (IJETT). V3(3):327-332 May-Jun 2012. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group


Digital images contain large amount of information that need evolving effective techniques for stori ng and transmitting the ever increasing volumes of data. Image compression addresses the problem by reduci ng the amount of da ta required to represent a digital image. Image compression is achieved by removing data redundancy while preserving information content. In this paper, a new alternative method for simultaneous image acquisition and compression called adaptive c ompressed sampling. It also extend ed the need for image reconstruction on compressed images. Image reconstruction has t o be defined in this context. whereas Image enhancement strives to bring out certain features in an image to simplify the extraction of image infor mation, image reconstruction is the attempt to retrieve information that has been lost or obscured in the imaging process itself.


[1] Ahmed, N., Natarajan T., Rao K. R.: Discrete cosine transform. In: IEEE Transactions onComputers, Vol. 23, (1974) 90 - 93 .
[2] Rao, K., Yip P.: Discrete Cosine Transform, Algorit hms, Advantages, Applications. In:Academic Press (1990) .
[3] Wallace, G. K.: The JPEG Still Picture Compression Standard. In: Comm. Of the ACM, Vol. 34, No.4 (1991).
[4] Pennebaker, W. B., Mitchell, J. L.: JPEG Still Image Data Compression Standard. In: Va nNostrand Reinhold, New York (1993)
[5] Kesavan, Hareesh. Choosing a DCT Quantization Matrix for JPEG Encoding .

Compression, Reconstruction, Discrete Cosine Transform, Quantization, Entropy, Lossless Compression, Lossy Compres sion .