A Decision based Unsymmetrical Trimmed Variants for the Removal of High Density Salt and Pepper Noise

Abstract

A Decision based scheme using a improved mesh based snake like sorting is proposed for the restoration of gray scale images that are heavily corrupted by salt and pepper noise. The proposed algorithm uses modified mean or median for image restoration. The processed pixel is examined for 0 or 255; if checked pixel is equal to 0 or 255, then it is considered as noisy pixel else not noisy. The noisy pixel is replaced by median of unsymmetrical trimmed output, if the current window has at least three noisy pixels or mean of first and last values of the un-symmetrical trimmed output. The uncorrupted pixel is left unchanged. The proposed algorithm shows excellent noise suppression capability with good edge preservation in heavy noisy conditions both qualitative and quantitatively. The proposed algorithm was applied on various grayscale images and found to have excellent PSNR and high IEF , low MSE and consumes less time even at very high noise densities with edge preservation.

A new method based on pixel density in salt and pepper noise removal

“…Firstly, the noisy pixels are identified by the histogram of the corrupted image. Secondly, the filter is applied to the noisy pixels [33]. Fuzzy reasoning is employed to handle uncertainty in the extracted local information about the noisy pixels, and the values of the corrupted pixels are replaced with a median filter or are estimated via the values of the neighboring pixels [34,35].…”

A New Hybrid Filtering Technique Based on Neighboring Pixels to Remove Impulse Noise from Digital Images

“…In this paper Lena and Barbara image of size 512512 have been used to show comparative analysis on the basis of SNR, EPI, SSIM, MS-SSIM and PSNR. The experimental comparison of proposed technique is made with median filter (MF) [16], adaptive median filter (AMF), Decision based unsymmetrical trimmed median filter (DBUTMF) [19], Modified decision based un-symmetric trimmed median filter (MDBUTMF) [22] and Decision based un-symmetric trimmed midpoint filter (DBUTMPF) [24]. Table-1 illustrates the comparative analysis of various existing filters based on survey of literature.…”

“…The experiments demonstrate that proposed algorithm efficiently suppress the noise up to 85% noise density. Again K.Vasanth et al, [24] proposed a new decision based unsymmetrical trimmed midpoint algorithm (DBUTMPF) by calculating trimmed midpoint rather than median of the images that are corrupted by impulse noise. The proposed algorithm efficiently removed the salt and pepper noise by preserving the edges at high noise densities.…”

Decision based unsymmetrical trimmed mode filter for the removal of salt and pepper noise in images

“…At high noise densities the algorithm exhibits fading effect [9]. The Modified decision based Unsymmetrical trimmed median filter (MDBUTMF) [10] replaced the noisy pixels with unsymmetrical trimmed median. When all the pixels of the current processing window are noisy the corrupted pixel is replaced by mean of the corrupted pixels.…”

“…The decision based unsymmetrical trimmed midpoint filter (DBUTMPF) [10] replaced the noisy pixels with unsymmetrical trimmed midpoint filter. This showed better results in image restoration than MDBUTMF at high noise densities but the quantitative performance of the algorithm was below par than MDBUTMF at low and medium noise densities.…”