| Summary: | 碩士 === 國立交通大學 === 電機工程學系 === 102 === X-ray image might be corrupted by noise or blurring because of the 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 the shock filter are excellent in x-ray image. The peak signal-to-noise ratio (PSNR) values are 38dB at least in restoring the noisy x-ray image. The sharpness of the 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 (944p) process. This paper implements the architecture in FPGA. The hardware cost is low because the computation of the 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 944p, 43.1-fps solution on 100MHz with 133k gate counts in Design Compiler, and with 2904 logic elements in FPGA.
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