A new method to remove random-valued impulse noise in images

Removal of random-valued impulse noise by local statistics

“…Different researchers [6,17] have proposed different constant values to decrease the threshold value. Basically, this value depends on their proposed method.…”

“…For the validation of our proposed method to remove RVIN, we performed a comparison with the state-of-the-art RVIN de-noising algorithms based on the median value MF [11], AMF [8], DBA [15], DWM [6], ASWM [1], SN [17], FIDRM [13], and FRINRM [14] methods, with their proposed threshold and window sizes. A number of experiments were conducted using different window sizes (3×3, 5×5, 7×7, and 9 × 9) to determine the best window size for the identification and removal of RVIN for the proposed method, and 5 × 5 was found to be the best size of the sliding window for the noise identification and removal.…”

“…We can see that our proposed method can better preserve the edges of an image object compared to the other state-of-the-art RVIN methods. For most of the previous methods [1,6,8,11,17], after the identification of a noisy pixel, the noisy pixel is directly replaced with the median value. The high computational cost required to determine whether the current pixel is noisy or noise free is a major problem.…”

“…To compare our proposed method with other state-of-the-art methods, we have used a common and well known metric criteria for the evaluation of impulse noise identification and removal, which is named as peak signal-to-noise ratio (PSNR) [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] in decibel (dB). It can be expressed as follows:…”

“…However, DBAs cannot improve the image quality because propagation can cause blurring. A new detection method based on Similar Neighbours (SN) of the pixels that detects the noisy pixel through several phases was proposed by [17]. The noise identification of the SN method gradually determines the corrupted pixels in the noisy image using a maximum of four phase identification processes.…”