Radiological image compression using full-frame cosine transform with adaptive bit-allocation.
We report a new bit-allocation scheme based on the full-frame cosine transform for radiological image compression. The new technique differs from a previously reported method in its use of a two-dimensional bit-allocation table to encode the compression data. This allows for an improved treatment of high frequency components in the transform domain. Consequently, it has the capability of faithfully reproducing limited numbers of high-contrast sharp edges in the image. Previously reported artifacts, induced in the reconstructed image by sharp edges in the original, have been eliminated. Experiments with 10 radiological chest images show almost no perceivable degradation in the reconstructed image at compression ratios below 10:1. Image quality at a fixed compression ratio is, in every case, comparable or superior to results using the old method. Furthermore, the new algorithm lends itself to hardware implementations that are both simple and fast.
Chan
K K
KK
Department of Radiological Sciences, University of California, Los Angeles 90024.
Lou
S L
SL
Huang
H K
HK
D000465:Algorithms; D006801:Humans; D011856:Radiographic Image Enhancement / Q000379:methods*; D013902:Radiography, Thoracic; D013382:Subtraction Technique