An Approach for Image Compression of Algae Cell Using Multiwavelets

Many algorithms based on wavelets have been shown to work well in image compression. However, the results are not good enough to meet the applications because wavelets cannot simultaneously possess all of the desirable properties such as symmetry, orthogonality, compact support and high approximation order, etc. Offering these features simultaneously as the extension from wavelets, multiwavelets can give better results in signal denoising as well as image compression. This paper will show a method of a quantizer for image compression of algae cell using multiwavelets, which simply combines the SPIHT and EZW coder. The experimental results demonstrate that our method exhibits better performance than the existing ways for image compression such as scalar wavelets or other traditional transforms.