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Video communication

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This analysis explores the impact of various error correction techniques on image quality in communication systems. Specifically, it evaluates PSNR (Peak Signal-to-Noise Ratio) and Bit Error Rate (BER) when employing Hamming code for error correction. The study compares outcomes under different noise conditions and the effectiveness of inserting zero, random numbers, and a fixed value (7) into LSBs (Least Significant Bits) during correction. Results indicate that while zero padding can yield superior PSNR values, Hamming code struggles with higher BER levels due to multi-bit errors.

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Video communication

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  1. Video communication HW2 林宜洵 M023010013

  2. Processing IGS Protect Bit Error Rate Recover LSB calculate PSNR

  3. Hamming code

  4. Hamming decode

  5. Hamming decode

  6. PSNR 無更正保護 PSNR Bit Error Rate

  7. PSNR 更正後 PSNR Bit Error Rate

  8. PSNR 只做IGS PSNR Bit Error Rate

  9. PSNR 原圖 PSNR Bit Error Rate

  10. PSNR IGS補0 PSNR Bit Error Rate

  11. PSNR IGS補random number PSNR Bit Error Rate

  12. PSNR design myself (IGS補7) PSNR Bit Error Rate

  13. 只做IGS, LSB補0 只做IGS, LSB補0 原本的

  14. 只做IGS, LSB補7(design myself) 只做IGS, LSB補7(design myself) 原本的

  15. 只做IGS, LSB補random number 只做IGS, LSB補random number 原本的

  16. 比較更正前後差異_BER=1% 更正後 無更正保護

  17. 比較更正前後差異_BER=5% 更正後 無更正保護

  18. 比較更正前後差異_BER=10% 更正後 無更正保護

  19. 比較更正前後差異_BER=15% 更正後 無更正保護

  20. Results • 使用IGS之後，後面四個bits要補數，因為四bits二近位轉成十近位的數值是零到十五，所以取了中間值七，但是補七的PSNR會比亂數的還高，但是還不如補零的高 • Hammingcode 只能校正一個數，當BER等於5時，雜訊就很明顯，沒有辦法校正，因為同一個像數中，可能會有兩個以上的bit出現錯誤的機率比較高，導致他叫正之後還是錯的

  21. Thank you

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