Two-Phase Image Denoising Using Hough Transform

Advancement in applications requires more efficient image denoising techniques as it is still an unexplored area for the researchers. The crucial step in image denoising process is detection of noisy pixel, where over and under detection may affect the desire outcomes. Random impulse noise is difficult to remove because it appears randomly on the image, and most filters fail to identify all damaged pixels. To remove random impulse noise, we proposed two-step sequential algorithm, in the first step, ROAD-TGM filter ensure accurate noise estimation by avoiding over and under selection of noisy pixels. The second step performs image restoration using Hough transform method. Hough transform technique is used to extract features form images and by using these features, we restore the damaged pixel by the mean of undamaged pixel. In comparison with other well-known methods, the results of proposed method indicate that our restored images show a substantial change.