Two-Phase Image Denoising Using Hough Transform

This chapter presents a comprehensive approach to image denoising, focusing on the challenges posed by impulse noise during image capturing and storage. The proposed two-phase method leverages the Hough transform to enhance the performance of existing denoising algorithms. The first phase employs the ROAD-TGM technique to detect noisy pixels, while the second phase uses the Hough transform to draw lines and fill corrupted pixels with the mean of uncorrupted pixels. The method's effectiveness is evaluated using standard grayscale images corrupted at various noise levels, with quantitative metrics such as PSNR demonstrating its superior performance. The chapter also compares the proposed method with other denoising techniques, highlighting its ability to preserve image details and authenticity. This innovative approach offers a promising solution for improving the quality of noisy images in various applications, from biomedical imaging to surveillance systems.