A fast novel algorithm for salt and pepper image noise cancellation using cardinal B-splines

Structure‐based interpolation method for restoring the intensity of low‐density impulse noise

“…In the experimental tests section, our proposed method SBIM is compared with such different restoration methods as IBDND [5], IBINR [6], CBSM [7], AWMF [8], MDWM [9], NTF [10], MASF [11], UWMF [12], TSAR [13], SMMF [14], CBPF [15], TVWA [16], INLM [17], and SNNI [18].The experiments are repeated ten times and the average results are reported. All the DBFs are simulated in MATLAB ® R2014a software under Windows 7 64-bit operating system running on a PC equipped with Intel ® Core i7 processor @2.20 GHz, and 8 GB RAM.…”

“…Since the IN removal process is basically an interpolation operation, some DBFs adopt the interpolation techniques in restoration units to reduce the impact of IN. Some of these state-ofthe-art DBFs are regarded as improvements on boundary discriminative noise detection (IBDND) [5], interpolation-based IN removal (IBINR) [6], cardinal B-splines method (CBSM) [7], adaptive weighted mean filter (AWMF) [8], modified directional weighted-median filter (MDWM) [9], Newton-Thiele filter (NTF) [10], multi-level adaptive switching filter (MASF) [11], unbiased weighted mean filter (UWMF) [12], three-stage approach (TSAR) [13], switching median-mean filter (SMMF) [14], context-based prediction filtering (CBPF) [15], three-values-weighted approach (TVWA) [16], iterative non-local means filter (INLM) [17], and Sibson natural neighbour interpolation method (SNNI) [18].…”

Removal of Salt-and-Pepper Noise Using a High-Precision Frequency Analysis Approach

“…We then compared the PSNR values for DWM [12], SAWM [13], BDND [14], AGF [16], Chen's method [17], SAMF [15], ERMI [26], and cardinal B-splines [27]. These methods were chosen because they have been used in experiments on salt-and-pepper noise removal at rates from 10% to 90% with Lena and Pepper test images.…”

“…Therefore, for images other than Lena and Pepper, the PSNR was compared only with these methods. From [27], the experimental conditions were slightly different from DWM [12]; the noise densities were 30%, 50%, 70% and 90%. The PSNRs of these noise densities were 31.4695 dB, 28.4766 dB, 24.8949 dB, and 22.3284 dB.…”

A Novel Method for Contrast Enhancement with Colour Preservation

“…Weighting mean-separated sub-histogram equalization (WMSHE) [11] method is to perform the effective contrast enhancement of the digital image. The another method for contrast enhancement is based on is presented with a mapping function, which is a mixture of global and local transformation functions that improve both the brightness and fine details of the input image [12].…”