Four-Directional Detection-Based Gaussian Noise Removal

Detection of gaussian noise is an exigent task, especially at high noise density levels. This paper proposes a four-directional noise detection scheme towards the noise removal process. A calculated threshold value is undertaken in the detection scheme. Moreover, a four-stage segmentation scheme is applied to check the noise contamination level of the pixel using the calculated threshold value. A binary flag image is generated after identifying the noise contamination and ultimately sequentially combined mean–median filter (SCMMF) is used for the removal purpose. Results of the computer simulations demonstrate the effectiveness of the proposed methods even at high noise density levels.