A 2N Approach for Lossless Image Compression - Swarup Kumar, Javvadi N. V. R.
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Image compression techniques play a vital role in image processing. There are several lossy and lossless coding techniques developed all through the last two decades. Although very high compression can be achieved with lossy compression techniques, they are deficient in obtaining the original image. While transmitting an image we have to reduce the size of the image in order to decrease the time needed to transmit the image. There are so many compression methods have been introduced to compress the image but exact image can recover by lossless compression technique. Here introduced a new…mehr

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Produktbeschreibung
Image compression techniques play a vital role in image processing. There are several lossy and lossless coding techniques developed all through the last two decades. Although very high compression can be achieved with lossy compression techniques, they are deficient in obtaining the original image. While transmitting an image we have to reduce the size of the image in order to decrease the time needed to transmit the image. There are so many compression methods have been introduced to compress the image but exact image can recover by lossless compression technique. Here introduced a new lossless compression technique which even better reduces the entropy there by reducing the average number of bits with the utility of Non Binary Huffman coding through the use of 2N approach. The 2N approach proposed through our new approach can be largely utilized for all other encoding schemes for images.
Autorenporträt
J.N.V.R.Swarup Kumar received M.Tech degree (Information Technology) in 2010 from GITAM University. He has published number of papers in different International Conferences and International journals.He is peer-Reviewer for International Journal of Computer Science and Information Technology (IJCSIT). He is a member of IEEE (91099158).