期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：11
页码：9008-9111
出版社：IJECS
摘要：Image Compression is a method, which reduces the size of the data or the amount of space required to store the data. Digital imagein their raw form require an enormous amount of storage capacity. There are various transformation techniques used for data compression.Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are the most commonly used transformation.The Discrete cosinetransform (DCT) is a method for transform a signal or image from spati al domain to frequency component. DCT has high energy compactionproperty and requires less computational resources. On the other hand, DWT is multi resolution transformation. In this paper, we propose amixed DWT-DCT algorithm for image compression and reconstruction taking benefit from the advantages of both algorithms
