impulse noise detection
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Author(s):  
Vorapoj Patanavijit ◽  
Kornkamol Thakulsukanant

<p>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 these issues, this paper proposes the comparative analysis on the noise detections based on ROAD, ROLD and RORD. Therefore, the first contribution is the comparative statistical distribution of these three noise detections. By comprehensive experiment at each noise density, the optimized detected threshold is later determined from four benchmark data: Lena, Girl, Pepper and Airplane. Moreover, the maximum detection accuracy for each case is comparatively demonstrated by using the noise detections based on ROAD, ROLD and RORD with the optimized detected threshold.</p>



Author(s):  
Xiuchun Xiao ◽  
Neal N. Xiong ◽  
Jianhuang Lai ◽  
Chang-Dong Wang ◽  
Zhenan Sun ◽  
...  


2018 ◽  
Vol 12 (1) ◽  
pp. 12-21
Author(s):  
V.P. Ananthi ◽  
P. Balasubramaniam ◽  
P. Raveendran




2017 ◽  
Vol 26 (2) ◽  
pp. 023023 ◽  
Author(s):  
Chih-Cheng Hung ◽  
Eun Suk Chang


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