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To remove random valued impulse noise from the digital images, a novel two step method has been proposed. The first step is to classify whether the center pixel in the 5 × 5 window is noisy or not, which is done using all neighbor directional weighted pixels in a 5 × 5 mask. The proposed algorithm performs simple arithmetic absolute differences on the pixels aligned in the four main directions with...
In this paper a minimum deviation of fidelity based data embedding technique (STMDF) has been proposed where two bits per byte have been replaced by choosing the position randomly between LSB and up to fourth bit towards MSB. This technique also optimized the intensity value of pixel after embedding by comparing it with original pixel value. STMDF technique has been compared with existing Wu-Tsai's...
In this paper an effort has been made to device an algorithm for highly corrupted images. In this paper a novel Modified Weighted Based(MWB) filter has been proposed, which is based on the weighted differences between the current pixel and its neighbors aligned with four main directions. Simulations showed that the MWB filter provides optimal performances of suppressing impulse with high noise level...
In this paper a novel Modified Directional Weighted Median Based (MDWM) filter has been proposed, which is based on the differences between the current pixel and its neighbors aligned with four main directions. A direction index is used for each edge aligned with a given direction. Then, the minimum of these four direction indexes is used for impulse detection. Known median-based de-noising methods...
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