An alternative proposed single error detection algorithm for the single parity check algorithm
In this article, our objective is to propose an alternative algorithm to the single parity check algorithm that exhibits improved capabilities. To achieve this, we introduce a function for symmetrizing binary codes with an error resilience capability. Additionally, we present the symmetry check algo...
Saved in:
| Published in | The Journal of supercomputing Vol. 81; no. 7; p. 851 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
10.05.2025
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1573-0484 0920-8542 1573-0484 |
| DOI | 10.1007/s11227-025-07305-8 |
Cover
| Summary: | In this article, our objective is to propose an alternative algorithm to the single parity check algorithm that exhibits improved capabilities. To achieve this, we introduce a function for symmetrizing binary codes with an error resilience capability. Additionally, we present the symmetry check algorithm for error detection and provide a theoretical proof that the error detection bits of the symmetry check algorithm not only identify errors but also enable the recovery of a portion of the original binary code bits. The symmetry check algorithm has the ability to recover a portion of the data in any channel, regardless of the level of noise present, in proportion to the introduced noise. By implementing the symmetry check algorithm on a group of
512
×
512
grayscale images with a
20
%
error probability, we observed a
25
%
increase in the peak signal-to-noise ratio. This feature is not present in the single parity check algorithm. One of our key achievements is that in the event of data loss in the original image, the symmetry check algorithm can detect it using the symmetry bits and recover the lost image as a black and white image, while still performing error control. |
|---|---|
| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1573-0484 0920-8542 1573-0484 |
| DOI: | 10.1007/s11227-025-07305-8 |