Image Compression through Data Representation in Frequency Domain
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 8
Abstract
Data compression is a very important field these days. You can find it in any web page, network devices, application files etc. Its importance has grown during the years as a necessity of storage and time of transportation. Images are one of the most important data types to take in consideration. Because of the large diversity of images in terms of both size and content, none of the existing compression methods can be presented as appropriate for all of them. As such it is always an open field for discussions. In this paper we introduce a new way of compressing images. We propose a lossy technique based on the method of “Data Representation through combinations”, applied in the frequency domain. We use the Discrete cosine transform (DCT) and the indexing properties as key points for our technique. According to this technique we enable not only compression but also other security measures like cryptography, steganography and watermarking.
Authors and Affiliations
Elda Cina, Esmerald Aliaj, Habib Hamam
Keywords
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