期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：3
页码：5207
DOI：10.15680/IJIRCCE.2017.0503284
出版社：S&S Publications
摘要：Image compression is used to reduce redundancy and irrelevance of the image data, it is also used forarchiving the data which has a very broad usage in various fields like compressing medical images. Image compressionmay be lossy or lossless. In this paper, we introduce a system for hybrid image compression where the lossy and thelossless techniques are combined to get a better compression ratio. This hybrid technique will be used to compress a setof grayscale medical images. First a lossy technique is applied on the image followed by lossless technique to compressthe image and the results obtained for various combinations are compared. The results comprises of the compressionratio and the percent of compression of the medical images. For lossy we are using Discrete Cosine Transform(DCT)and for lossless we will be using Run Length Encoding (RLE), Huffman and Lempel-Ziv-Welch (LZW). ForHybrid image compression, the first hybrid technique is a combination of DCT followed by RLE and Huffman and thesecond hybrid technique is DCT followed by RLE and LZW.
