The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Secure Image Communication using Systematic-LT Codes over AWGN Channel
Abstract
Luby Transform codes (LT) are rate less erasure codes potentially employed for data transmission over communication networks and data storage. Systematic LT codes (SLT) has advantage over LT code in unequal error protection of packet. SLT codes are designed using Robust soliton distribution (RSD), Sparse Degree Distribution (SDD) and Novel Degree Distribution (NDD). Further, SLT codes have been used as channel coding technique to transfer AES encrypted Image on BPSK over AWGN channel. BER in the range of 10−6for SNR levels of 2dB have been achieved in SDD and NDD using soft decoding of 6 iterations for R−1= 3.5. While analyzing the performance of SLT Codes, it has been observed that BER decreases drastically from 10−1to 10−6for SNR variation from 0.5dB to 2dB. Image quality analysis has been performed using Mean Squared Error (MSE), Peak Signal to Noise Ratio (PSNR), Number of Pixel Changing Rate (NPCR) and Unified Average Changing Intensity (UACI) for RSD, SDD & NDD between these power levels.
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Cites
Luby, M. G. (2003) · doi:10.1109/sfcs.2002.1181950 · Cited by 2,786
Advanced Encryption Standard (AES)
Heron, S. (2009) · Network Security · doi:10.1016/s1353-4858(10)70006-4 · Cited by 1,216
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Development of modified AES algorithm for data security
Kumar, P., & Rana, S. B. (2015) · Optik · doi:10.1016/j.ijleo.2015.11.188 · Cited by 134
The Design and Performance of Distributed LT Codes
Puducheri, S., Kliewer, J., & Fuja, T. E. (2007) · IEEE Transactions on Information Theory · doi:10.1109/tit.2007.904982 · Cited by 113
Systematic Luby Transform Codes and Their Soft Decoding
Nguyen, T. D., Yang, L., & Hanzo, L. (2007) · SiPS ... design and implementation - IEEE Workshop on Signal Processing Systems · doi:10.1109/sips.2007.4387519 · Cited by 65
Experimental Comparison of PSNR and SSIM Metrics for Video Quality Estimation
Kotevski, Z., & Mitrevski, P. J. (2010) · Springer eBooks · doi:10.1007/978-3-642-10781-8_37 · Cited by 54
Yuan, X., & Ping, L. (2008) · IEEE Communications Letters · doi:10.1109/lcomm.2008.080825 · Cited by 44
On the Mitigation of Impulsive Noise in Power-Line Communications With LT Codes
Andreadou, N., & Tonello, A. M. (2013) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2013.2258474 · Cited by 27
Analysis of LT Codes over Finite Fields under Optimal Erasure Decoding
Schotsch, B. E., Garrammone, G., & Vary, P. (2013) · IEEE Communications Letters · doi:10.1109/lcomm.2013.072313.131212 · Cited by 27
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Sorted by citations
Tiwari, A., Diwan, P., Diwan, T. D., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-95995-8 · Cited by 45
“Sarvepalli et al. 20 used Systematic-LT Codes over AWGN Channels for transmitting encrypted images, achieving low Bit Error Rates, and conducting thorough image quality analysis.”
Optimized 3-D Chaotic Map for Compressed Image Encryption for Secure CommunicationPreprint
Tiwari, A., Diwan, P., & Diwan, T. D. (2024) · Research Square · doi:10.21203/rs.3.rs-5293298/v1
Metadata
- Authors
- Sarvepalli, G. P., Rethinam, S., Prasad, B. N. S., & Kulkarni, M.
- Affiliations
- National Institute of Technology Karnataka (IN)
- SASTRA Deemed University,School of Electrical & Electronics Engineering,Thanjavur,India
- National Institute of Technology,Department of Electronics and Communication Engineering,Karnataka,India
- ORCID
- Kulkarni, Muralidhar
- Venue
- 2022 2nd Asian Conference on Innovation in Technology (ASIANCON)
- Publisher
- IEEE
- Published
- 2022-08-26
- Pages
- 1-7
- OpenAlex
- W4304208256
- Semantic Scholar
- e1cdb4c69e3d17c96a45243cd751abc73126546c
- Cited by
- 2
- References
- 20
- Citations by year
- 2025: 1 · 2024: 1
- FWCI
- 0.48
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Asian Conference on Innovation in Technology (ASIANCON) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Error Correcting Code Techniques
- Physical Sciences › Mathematics › Discrete Mathematics and Combinatorics › Coding theory and cryptography
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Data Compression Techniques
- Keywords
- image encryption, AES encryption, secure image transmission, AWGN channel, BPSK, bit error rate, unequal error protection, soft-decision decoding, image quality assessment
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