Image splitting and remapping method for radiological image compression

Shih-Chung Benedict Lo; Ellen L. Shen; Seong Ki Mun

doi:10.1117/12.18870

1 July 1990 Image splitting and remapping method for radiological image compression

Shih-Chung Benedict Lo, Ellen L. Shen, Seong Ki Mun

Proceedings Volume 1232, Medical Imaging IV: Image Capture and Display; (1990) https://doi.org/10.1117/12.18870
Event: Medical Imaging '90, 1990, Newport Beach, CA, United States

Abstract

A new decomposition method using image splitting and gray-level remapping has been proposed for image compression, particularly for images with high contrast resolution. The effects of this method are especially evident in our radiological image compression study. In our experiments, we tested the impact of this decomposition method on image compression by employing it with two coding techniques on a set of clinically used CT images and several laser film digitized chest radiographs. One of the compression techniques used was full-frame bit-allocation in the discrete cosine transform domain, which has been proven to be an effective technique for radiological image compression. The other compression technique used was vector quantization with pruned tree-structured encoding, which through recent research has also been found to produce a low mean-square-error and a high compression ratio. The parameters we used in this study were mean-square-error and the bit rate required for the compressed file. In addition to these parameters, the difference between the original and reconstructed images will be presented so that the specific artifacts generated by both techniques can be discerned by visual perception.

Citation Download Citation

Shih-Chung Benedict Lo, Ellen L. Shen, and Seong Ki Mun "Image splitting and remapping method for radiological image compression", Proc. SPIE 1232, Medical Imaging IV: Image Capture and Display, (1 July 1990); https://doi.org/10.1117/12.18870

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available