TITLE:
Implementation of Shock Filter for Digital X-Ray Image Processing
AUTHORS:
Lan-Rong Dung, Shang-Ting Sun, Yin-Yi Wu
KEYWORDS:
Shock Filter, X-Ray Image, VLSI, Image Processing
JOURNAL NAME:
Journal of Computer and Communications,
Vol.2 No.13,
November
19,
2014
ABSTRACT: X-ray image might be corrupted by noise or
blurring because of signal transmission or the bad X- ray lens. This paper
presents a two-stage shock filter based on Partial Differential Equations (PDE)
to restore noisy blurred X-ray image. Shock filters are popular morphological
methods. They are used for noise removal, edge enhancement and image segmentation.
Our experimental results show that the performances of shock filter are
excellent in X-ray image. The peak signal-to-noise ratio (PSNR) values are 38 dB
at least in restoring the noisy X-ray image. The sharpness of image’s edges
increase in enhancing the blurred X-ray image. Furthermore, this paper proposes
a VLSI architecture for accelerating the high-definition (HD) X-ray image (944 p)
process. This paper implements the architecture in FPGA. The hardware cost is
low because the computation of shock filter is low complex. To achieve the
real-time processing specification, this paper uses a 5-series shock filter
architecture to implement computation of HD X-ray image. This paper
demonstrates a 944 p, 43.1-fps solution on 100 MHz with 133 k gate counts in
Design Compiler, and with 2904 logic elements in FPGA.