Abstract—Digital image and video in their raw form require an enormous amount of storage capacity. Considering the important role played by digital imaging and video, it is necessary to develop a system that produces high degree of compression while preserving critical image/video information. There are various transformation techniques used for data compression. Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are the most commonly used transformation. DCT has high energy compaction property and requires less computational resources. On the other hand, DWT is multiresolution transformation. In this work, we propose a hybrid DWT-DCT algorithm for image compression and reconstruction taking benefit from the advantages of both algorithms.

Index Terms—Compression, Discrete wavelet transform, Discrete cosine transform, Multiresolution, Energy compaction

Cite: Manisha Singh and Devanand Bhonsle, "IMAGE COMPRESSION WITH HYBRID METHOD: AN OVERVIEW," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 2, No. 3, pp. 6-12, July 2013.