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Exercise 2 Improved Gray Scale (IGS) Code

Exercise 2 Improved Gray Scale (IGS) Code . 授課老師：葉家宏 教授 學生：黃宇清 M023010097 . 2013/11/27. Outline. Processing How to Error correction and recover bit Design LSB myself Result Conclusion. Processing. 8bits Gray. 4 bits IGS. 4 bits LSB. Transmission error. zero random myself.

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Exercise 2 Improved Gray Scale (IGS) Code

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  1. Exercise 2 Improved Gray Scale (IGS) Code 授課老師：葉家宏 教授 學生：黃宇清 M023010097 2013/11/27

  2. Outline • Processing • How to Error correction and recover bit • Design LSB myself • Result • Conclusion

  3. Processing 8bits Gray 4bits IGS 4bits LSB Transmission error zero random myself Error correction 8bits Gray

  4. Error correction and recover bit • Use Hamming code(7,4) • Only Can correction and recover 1 bit

  5. Design LSB myself If (Hamming Check = 0) 代表 no error Else Hamming Check = Hamming Check

  6. LSB by 0 Bit error rate 1% PSNR = 24.05073 PSNR = 30.597349

  7. LSB by 0 Bit error rate 5% PSNR = 17.74497 PSNR = 22.441748

  8. LSB by 0 Bit error rate 10% PSNR = 14.956041 PSNR = 17.449496

  9. LSB by 0 Bit error rate 15% PSNR = 13.388941 PSNR = 14.744982

  10. LSB by myself Bit error rate 1% PSNR = 23.986222 PSNR = 30.210068

  11. LSB by myself Bit error rate 5% PSNR = 17.695147 PSNR = 22.228934

  12. LSB by myself Bit error rate 10% PSNR = 14.921337 PSNR = 17.364861

  13. LSB by myself Bit error rate 15% PSNR = 13.371626 PSNR = 14.710633

  14. Conclusion • 根據PSNR分析數據圖，可以發現當bit error rate超過10%時，使用Hamming code，更錯的能力明顯下降許多。 • 自行設計的LSB方法，比LSB by 0的PSNR值差，但比LSB by Random優。 • 要設計比LSB by 0好，似乎件不容易。

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