An Image Transmission System Based on Adaptive Polar Codes

Leveraging the advantages of polar codesnamely their low encoding and decoding complexity and excellent bit error performancethis paper proposes a complete image transmission system based on adaptive polar codes to enhance image quality under varying channel conditions in Gaussian channels. By designing a rate lookup table tailored to specific channel conditions, the system can autonomously select coding rate parameters according to channel state information for efficient encoding and decoding. Furthermore, a comprehensive system performance evaluation framework is established using metrics such as bit error rate (BER), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM). Simulation results demonstrate that, compared with conventional digital transmission schemes based on polar codes, the proposed system achieves superior performance.