Implementation of Shock Filter for Digital X-Ray Image Processing

Lan-Rong Dung^1*, Shang-Ting Sun¹, Yin-Yi Wu²

¹Departmentof Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Chinese Taipei.
²Chung-Shan Institute of Science Technology, Taoyuan, Chinese Taipei.

DOI: 10.4236/jcc.2014.213004                

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.

Keywords

Shock Filter, X-Ray Image, VLSI, Image Processing

Conflicts of Interest

The authors declare no conflicts of interest.

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