Paper
17 May 2002 Fast unsharp masking on a programmable mediaprocessor
Unmin Bae, Ravi Managuli, Vijay Shamdasani, Hitoshi Inoue, Yongmin Kim
Author Affiliations +
Abstract
Unsharp masking is a widely used image enhancement method in medical imaging, e.g., in computed radiography, digital radiography, and digital mammography. It mainly consists of 3 steps: (1) convolving an input image with a lowpass filter, (2) obtaining a highpass-filtered image by subtracting the lowpass-filtered image from the original image, and (3) adding the weighted highpass-filtered image to the original image. It is computationally expensive, e.g., convolving a 2k x 2k image with a 21 x 21 kernel alone requires about 3.7 billion arithmetic operations. To support this high computational demand for unsharp masking, hardware-based solutions using ASIC, FPGA and FPLD have been developed and used. While they have reasonably met the computing requirement, they suffer from limited flexibility. On the other hand, software solutions using programmable processors are more flexible and can easily change algorithmic parameters, such as filter kernel size, and incorporate new features, but they have not been able to meet the fast computing requirement. Modern programmable mediaprocessors, such as MAP-CA and Texas Instruments TMS320C64x, can meet both fast computing and flexibility requirements due to their high computing power and full programmability. In this paper, we present an efficient implementation of adaptive unsharp masking on a MAP-CA mediaprocessor. For a 2k x 2k 16-bit image, our adaptive unsharp masking operation with a 149 x 149 boxcar kernel takes only 300 ms. This fast unsharp masking not only reduces the overall processing time in imaging modalities, but also allows the operator to adjust the selected parameters interactively for optimal image quality. Our implementation on the MAP-CA can be easily extended to other high-performance mediaprocessors, such as TMS320C64x and Pentium 4.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Unmin Bae, Ravi Managuli, Vijay Shamdasani, Hitoshi Inoue, and Yongmin Kim "Fast unsharp masking on a programmable mediaprocessor", Proc. SPIE 4681, Medical Imaging 2002: Visualization, Image-Guided Procedures, and Display, (17 May 2002); https://doi.org/10.1117/12.466962
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image enhancement

Convolution

Image processing

Image filtering

Boxcar filters

Digital mammography

Medical imaging

Back to Top