Full-Frame Transform Coding of Cross-Sectional Images

K. K. Chan; Shyh-Liang Lou; H. K. Huang

doi:10.1117/12.976440

8 May 1989 Full-Frame Transform Coding of Cross-Sectional Images

K. K. Chan, Shyh-Liang Lou, H. K. Huang

Proceedings Volume 1091, Medical Imaging III: Image Capture and Display; (1989) https://doi.org/10.1117/12.976440
Event: Medical Imaging III, 1989, Newport Beach, CA, United States

Abstract

Image compression algorithms based on full-frame discrete transforms completely eliminate the artifacts generated by block quantization techniques. Previously, we have shown that full-frame compression using an adaptive two-dimensional bit-allocation table is capable of achieving compression ratios as high as 10:1 to 20:1, while maintaining excellent image fidelity, when applied to computed radiography images, and film radiographs digitized with 2K x 2K resolution. Cross-sectional images such as computed tomography and magnetic resonance have spectral properties qualitatively different from those of projection radiographs. We report results of a study on the efficiency of our algorithm applied to images from these digital modalities. We find that we can achieve excellent results with compression ratios in the range 3:1 to 7:1. For CT images of the head, previous attempts at using the full-frame technique had required a hybrid method that used separation of skull and soft tissue. This is unnecessary with our new two-dimensional bit-allocation table. The study was performed on a hardware implementation of our algorithm which can compress a 512 x 512 x 12-bit image in less than 1.5 seconds.

Citation Download Citation

K. K. Chan, Shyh-Liang Lou, and H. K. Huang "Full-Frame Transform Coding of Cross-Sectional Images", Proc. SPIE 1091, Medical Imaging III: Image Capture and Display, (8 May 1989); https://doi.org/10.1117/12.976440

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