Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
Handbook of Image and Video Processing
Handbook of Image and Video Processing
A Simple and Efficient Connected Components Labeling Algorithm
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
An Objective Distortion Measure for Binary Document Images Based on Human Visual Perception
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Graphics Recognition. Recent Advances and New Opportunities
Tri-state median filter for image denoising
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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In this paper a noise removal algorithm is proposed by adding a procedure to enhance noise removal to a third party algorithm as a post processing step. The procedure (TAMD) has been proposed to enhance salt and pepper noise removal. TAMD analyzes thin line blobs before deciding to retain or remove them. It has been successfully applied previously in two noise removal algorithms by integrating their algorithm logic with the procedure. In this paper, a noise removal algorithm is proposed by utilizing it as a post processing step. The performance of the proposed noise removal algorithm is compared to many other algorithms including state of the art methods such as median and center weighted median. Real scanned images of mechanical engineering drawings corrupted by 20% salt and pepper noise are used in the experiment. Objective performance evaluation (PSNR and DRDM) has shown that our proposed noise removal algorithm is better than other studied algorithms.