TECHNOLOGY Novel Fast Haar Wavelet Transform for Brain Image Compression Using Spiht Algorithm
Ramesh Kumar, Koyi Sai Vaishnavi · 2014
A combination of image compression techniques has been extended to compress medical images. Due to the widespread usage of data about patients and med ical images like CT and MR scan, these medical imagery needs to store for a extensive period for the c onstant monitoring of the patients and the volume o f data correlated with images is large and it occupies massive storag e ability. Also doctors send those images to other place using electronic media. So, the medical images need to be compressed to condense the storage charge and for transmit them without any loss. In this study combination of Modified Fast Haar Wavelet Transform (MFHWT) and Set Partitioning in Hierarchical Trees (SPIHT) method h as developed for compression of Brain images. Region of Interest (ROI) on the choosing segment will not onl y give the quality but also diagnosis without any d egradable information from an image. The performance of the compression method is estimated using the paramete rs ( MSE, PSNR,CR) and accomplished improved result compared to other existing methods. As a result, by us ing our method, we can prevail over the constraints in stor age and transmission of medical images.