Study and Analysis of Medical Image Compression Using Compressive Sampling
Ph.D. Research Scholar, Faculty of Technology & Engineering, C. U. Shah University, Wadhwancity, India
ABSTRACT
Nowadays in medical science, patience are examined by various medical images. The acquisition of these types of images is very expensive and time lengthy process. Also storage of medical images is one of the problems by considering the number of patience increase day by day. So overcome to problem related to size of storage and lengthy process time, in this paper new acquisition process for medical images is proposed using compressive sampling. The compressive sampling is a new signal processing theory which is sampled and compressed data simultaneously. The compressive sampling process is applied on medical image such as CT, MRI and Ultrasound image. In this paper, compressive sampling process is applied on CT image and the results show that this process reduces the acquisition time and storage size without affecting the quality of the CT image.
