Quantitative and Qualitative Evaluation for Gamma Radiographic Image Enhancement

نویسندگان

  • H. Kasban
  • O. Zahran
  • H. Arafa
  • M. S. Elaraby
  • F. E. Abd El-Samie
چکیده

This paper presents some image processing techniques that can be used for radiographic image enhancement. Contrast enhancement, filtering, denoising, and interpolation processes are carried out in this paper. Contrast enhancement is carried out using adaptive histogram equalization. Filtering is carried out using median, Wiener, Lee, and Kuan filters. Wavelet and curvelet transforms are used for image denoising. Three interpolation are carried out. The results are evaluated qualitatively and quantitatively using the Peak Signal-to-Noise Ratio (PSNR), Root Mean Squire Error (RMSE), Standard Deviation (SD), smoothness, entropy, Structural Similarity (SSIM), and execution time. The results show that the contrast enhancement improves the radiographic image quality, the Wiener filter achieves better enhancement results than other filters, the curvelet transform denoising gives better enhancement than wavelet denoising. The bicubic interpolation with resolution factor two is promising in terms of the quality assessment metrics.

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تاریخ انتشار 2012