Hard Decision Error Correcting Scheme Based on LDPC Codes over Impulse Noise Channels

2006 ◽  
Author(s):  
Milos Ivkovic ◽  
Shuguang Cui
Keyword(s):  
Impulse Noise ◽  
Ldpc Codes ◽  
Decision Error ◽  
Hard Decision

scholarly journals A computational experimental of noise suppressing technique stand on hard decision threshold dissimilarity

2021 ◽  
Vol 24 (1) ◽  
pp. 144
Author(s):  
Vorapoj Patanavijit ◽  
Kornkamol Thakulsukanant
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Impulse Noise ◽  
Window Size ◽  
Ground Truth ◽  
Decision Threshold ◽  
Statistical Average ◽  
Hard Decision

Due to the extreme insistence for digital image processing, plentiful modern noise suppressing techniques are embodied of dissimilarity process and suppressing process. One of the extreme capability dissimilarity is hard decision threshold (HDT) dissimilarity, which has been recently declared in 2012, for suppressing the impulsive noisy photographs thus the computer experimental statement attempts to investigate the capability of the noise suppressing technique that is stand on HDT dissimilarity for the processed photographs, which are corrupted by fixed-intensity impulse noise (FIIN). This paper proposes the noise suppressing technique stand on HDT dissimilarity for FIIN. There are 3 primary contributions of this paper. The first contribution is the statistical average of the HDT dissimilarity of noise-free elements, which are computed from plentiful ground-truth photographs by varying window size for the best HDT window size. The second contribution is the statistical average of the HDT dissimilarity of corrupted elements, which are computed from plentiful corrupted photographs by varying outlier density for the best HDT window size. The final contribution is the statistical interrelation of the capability of the noise suppressing technique and hard consistent of HDT dissimilarity are investigated by varying the outlier denseness for the best HDT hard consistence.

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