Enhancing Image Transmission: LSB-Based Error Correction and Performance Analysis

DESCRIPTION

This project explores the design and implementation of a Least Significant Bit (LSB) algorithm for embedding and transmitting images with error correction capabilities. Key components include custom LSB design, error correction methods, and performance evaluation through PSNR (Peak Signal-to-Noise Ratio) metrics. The findings reveal a negative correlation between bit error rate and PSNR, indicating the impact of transmission errors on image quality. The project concludes with insights on optimization and a compression ratio of 0.758, highlighting the effectiveness of the outlined techniques.

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May 07, 2026

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Enhancing Image Transmission: LSB-Based Error Correction and Performance Analysis

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Presentation Transcript

視訊通訊project2 曾仁甫
大綱 • Algorithm • Design LSB by yourself • Error correction • Result • Conclusion
Algorithm Error correction IGS Transmission error Image 補滿LSB Output image
Design LSB by yourself IGS:1 0 1 0 1 0 1 0 0 xor 1xor 0 1 xor 1 xor 0 1 xor 0 xor 0 1xor 0 xor 1
Error correction IGS:1 0 1 0 01 0 01 0 1 霍夫曼編碼後接至IGS後面 1010 00 0xor 1 xor 0 = 1
RESULT Zero PSNR = 31.89192
RESULT Random PSNR = 30.55128
RESULT Myself PSNR = 26.3056
RESULT PSNR bit error rate
RESULT Erorr bit rate 1% PSNR = 25.83181
RESULT Erorr bit rate 5% PSNR = 21.66792
RESULT Erorr bit rate 10% PSNR = 18.98761
RESULT Erorr bit rate 15% PSNR = 17.25597
Conclusion • bit error rate 與PSNR 成反比 • Compression ratio = 0.758048