Fast adaptive unsharp masking with programmable mediaprocessors.
Unsharp masking is a widely used image-enhancement method in medical imaging. Hardware-based solutions can be developed to support high computational demand for unsharp masking, but they suffer from limited flexibility. Software solutions can easily incorporate new features and modify key parameters, such as filtering kernel size, but they have not been able to meet the fast computing requirement. Modern programmable mediaprocessors can meet both fast computing and flexibility requirements, which will benefit medical image computing. In this article, we present fast adaptive unsharp masking on two leading mediaprocessors or high-end digital signal processors, Hitachi/Equator Technologies MAP-CA and Texas Instruments TMS320C64x. For a 2k x 2k 16-bit image, our adaptive unsharp masking with a 201 x 201 boxcar kernel takes 225 ms on a 300-MHz MAP-CA and 74 ms on a 600-MHz TMS320C64x. This fast unsharp masking enables technologists and/or physicians to adjust parameters interactively for optimal quality assurance and image viewing.
Bae
Unmin
U
Departments of Electrical Engineering and Bioengineering, Image Computing Systems Laboratory, University of Washington, Seattle, WA 98195-2500, USA.
Shamdasani
Vijay
V
Managuli
Ravi
R
Kim
Yongmin
Y
D000465:Algorithms; D006801:Humans; D011785:Quality Assurance, Health Care; D011856:Radiographic Image Enhancement / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D012984:Software