Vorapoj Patanavijit
Assumption University
Motion estimationDigital image processingSalt-and-pepper noiseAlgorithmImage (mathematics)Iterative reconstructionNoiseTikhonov regularizationPeak signal-to-noise ratioOptical flowAdditive white Gaussian noiseSpeckle noiseImage resolutionNoise measurementComputer visionMathematicsComputer scienceGaussian noiseMedian filterShot noise
109Publications
7H-index
180Citations
Publications 108
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#1Darun Kesrarat (Assumption University)H-Index: 4
#2Vorapoj Patanavijit (Assumption University)H-Index: 7
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Traditionally, rank order absolute difference (ROAD) has a great similarity capacity for identifying whether the pixel is SPN or noiseless because statistical characteristic of ROAD is desired for a noise identifying objective. As a result, the decision based adaptive median filter (DBAMF) that is found on ROAD technique has been initially proposed for eliminating an impulsive noise since 2010. Consequently, this analyzed report focuses to examine the similarity capacity of denoising method foun...
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#1Vorapoj Patanavijit (Assumption University)H-Index: 7
#2Kornkamol Thakulsukanant (Assumption University)H-Index: 3
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#1Darun Kesrarat (Assumption University)H-Index: 4
#2Kornkamol Thakulsukanant (Assumption University)H-Index: 3
Last. Vorapoj Patanavijit (Assumption University)H-Index: 7
view all 3 authors...
Because of the feasible and impressive fallout, the classical Super-Resolution Reconstruction (SRR) is the contemporary algorithm for improving spatial information and reducing noise and SISR (Single-Image Super-Resolution) method, which is form on the classical SRR, is solely developed for improving spatial information. Disastrously, deficiency of the classical SISR method is conceptually computed from three specifications (b, h, k) and the simulating calculation of the optimized specifications...
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#1Vorapoj Patanavijit (Assumption University)H-Index: 7
#2Kornkamol Thakulsukanant (Assumption University)H-Index: 3
In 2010, the DBAMF (decision based adaptive median filter) denoising method based on ROAD that was proposed for eradicating an impulsive noise because ROAD (Rank Order Absolute Difference) has the obviously high performance in noisy classification and is mathematically developed from similar measurement method in computer vision for identifying whether the pixel is contaminated by impulsive noise or the noise-free. For that reason, the scholar thesis article intents to inspect the performance of...
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Advances in local image statistical analysis have made possible the random-valued impulse noise detection but the current noise detections based on ROAD (Rank-Ordered Absolute Differences), ROLD (Rank-Ordered Logarithmic Differences) and RORD (Rank-Ordered Relative Differences), which are the most three effective and practical detections using the local image statistical characteristic, operates effectively on different noise density and different image statistical characteristic. To address the...
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In the past two decades, the SPN (salt and pepper noise) suppressing method is worldwide interested researches on computer vision and image processing hence many SPN suppressing methods have been proposed. In general, the primary goal of SPN removal method is the suppressing of SPN in digital images thereby one of the recent effective and powerful SPN suppressing methods is a new switching-based median filtering (NSMF), which is innovated for suppressing high density SPN. Consequently, this pape...
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