Study and Analysis of Medical Image Compression Using Compressive Sampling

Authors

  • Rohit Thanki Ph.D. Research Scholar, Faculty of Technology & Engineering, C. U. Shah University, Wadhwancity
  • Ved Vyas Dwivedi Pro Vice Chancellor, C. U. Shah University, Wadhwancity
  • Komal Borisagar E.C. Department, Atmiya Institute of Technology & Science, Rajkot

Keywords:

Compressive Sampling, DWT, Medical Image, PSNR, RMSE, SSIM, SVD

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.

Published

2016-12-31

How to Cite

Rohit Thanki, Ved Vyas Dwivedi, & Komal Borisagar. (2016). Study and Analysis of Medical Image Compression Using Compressive Sampling. International Journal of Advance Research in Engineering, Science & Technology, 3(13), -. Retrieved from http://ijarest.com/index.php/ijarest/article/view/2115