Abstract
Works have been
 conducted recently to remove high intensity salt & pepper noise by virtue
 of adaptive and switching median filters. One of the cited works is the
 Noisy Adaptive Fuzzy Switching Median Filter (NAFSM) by which the noisy pixels
 are detected through utilization of image histogram. Noiseless pixels are
 left unprocessed while noisy pixels are passed through the noise adaptive
 median filter which expands for them. A filter mechanism which performs
 decision making in line with local similarity and similarity has been proposed
 for NAFSM. Local similarity information in 3x3 mask has been used for
 filtering mechanism in the study titled Noise Adaptive and Similar Based
 Switching Median Filter (NASBSM). Two thresholds with three regions were
 made by virtue of local similarity information. The logic of the approach
 was based on more intensive filtering for noisy pixels with high similarity
 value with neighboring pixels and less for those with less similarity value
 with neighboring pixels. According to the numerical and visual simulation
 results of the NASBSM mechanism, it was detected that it eliminates noises with
 high density.
Highlights
DIGITAL IMAGES become deteriorated in the process of transfer or obtaining image
Local similarity information in 3x3 mask for filtering mechanism has been used in this study
Two thresholds with three regions have been realized with local similarity information
Summary
DIGITAL IMAGES become deteriorated in the process of transfer or obtaining image. Transfer operations especially in noisy channels, faulty memory placement arising from the hardware and defective pixels created in the camera sensor lead to impulse noise [1]. Impulse noises are divided into two groups as salt & pepper noise and random noise. When the image is covered with salt & pepper noise, the noisy pixel takes a maximum or minimum value [2]. Standard Media Filter Filter (SMF) is utilized very often due to its noise reduction power and ease in computing. In as much as it makes regulation process for all noisy or noiseless pixels when the noise level increases some details emerge on the image or noise contamination occurs to the edges [3]. Adaptive Media Filter (AMF) has good performance in low density noise and in small window sizes when the window size increases or when the density increases blurring increases [4]
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