In this paper, improved Joint Source Channel (JSC) decoding using turbo codes is employed that are unified into JPEG 2000 decoder architecture. Rather than using conventional decoding approach, the proposed system provides reduced BER and complexity. This work deliberates Soft Output Viterbi Algorithm (SOVA) for its real time implementation features. Nevertheless, the algorithm suffers from performance degradation due to optimistic and correlation effects. The objective of this work is to enhance the performance of SOVA by using appropriate reduction factors that integrates and eliminates both these distortions. Acquired Integrated Factor is incorporated in the turbo decoders of the image transmission system. Bit Error rate and Peak Signal to Noise Ratio (PSNR) analysis is made by considering Additive White Gaussian Noise and Rayleigh fading channel through MATLAB simulation. To illustrate the visual quality improvement of the proposed scheme, comparison with other FEC codes is done with significant PSNR gains.

在本文中，采用了采用Turbo码的改进的联合源信道（JSC）解码，该解码被统一到JPEG 2000解码器体系结构中。所提议的系统不是使用常规解码方法，而是提供了降低的BER和复杂性。这项工作考虑了其实时实现功能的软输出维特比算法（SOVA）。然而，由于乐观和相关效应，该算法遭受性能下降。这项工作的目的是通过使用适当的减少因子来整合和消除这两种失真，从而提高SOVA的性能。所获得的积分因子被并入图像传输系统的turbo解码器中。通过MATLAB仿真，通过考虑加性高斯白噪声和瑞利衰落信道，进行了误码率和峰值信噪比（PSNR）分析。为了说明所提出方案的视觉质量改进，与其他FEC码进行了比较，并获得了明显的PSNR增益。