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In this project, we implement a 4-bit IGS (Image Gradient Scheme) code while exploring various least significant bit (LSB) techniques. The LSB is assessed under different conditions: zero and random. Through self-designing the LSB, we achieve notable PSNR results: 31.9 dB for zero LSB and 27.4 dB for random LSB. We also apply Hamming code for error correction and evaluate performance at different bit error rates. This work demonstrates the effectiveness of LSB strategies in maintaining image quality, with the best PSNR at 32.3 dB for custom LSB design.
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視訊通訊homework 2 林葦 M023010042
outline • Implement 4-bit IGS code • LSB is zero • LSB is random • Design LSB by myself • Error correction • Hamming code • results
LSB is zero original LSB is zero, PSNR = 31.9
LSB is random original LSB is random, PSNR = 27.4
Design LSB by myself original mine, PSNR = 32.3
Bit error rate 1% original LSB is zero, PSNR = 24.1
Bit error rate 15% original LSB is zero, PSNR = 13.4
Error correction + + + + + + Hamming code : p1=d1 d2 d3 p2=d1 d3 d4 p3=d2 d3 d4
Bit error rate 1% PSNR=24.1 PSNR = 27.9
Bit error rate 5% PSNR=17.8 PSNR = 20.3
Bit error rate 15% PSNR=13.4 PSNR = 13.9
