OSCILLATION AND DCT BASED BIOMEDICAL IMAGE COMPRESSION

Image compression technique for  biomedical  image  analysis has importance as because of time consuming process and also its storage .   It   becomes   necessary   to compress  the  image  to  reduce     processing   time   required   to retrieve  target  components from biomedical  images. Also biomedical images requires more space for storage and also management of these images is very difficult.  To compress the image, there are different techniques used. These techniques  are  classified  in  to  lossy  compression  and  lossless compression     techniques.     Out of     these     methods     lossy compression  schemes  are not widely used  due  to  possible  loss  of  useful clinical information and as operations like enhancement may lead to further degradations in the lossy  compression.   While lossless schemes avoids above mentioned drawbacks of lossy compression technique.  But  no  lossless  compression  algorithm can  efficiently compress  all  possible  data.  For  this  reason,  multiple  algorithms exist that are designed either with a specific type of input data in mind   or   with   specific    assumptions    about   what    kinds    of redundancy the uncompressed data are likely to contain.