IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Regular Section
A Deep Joint Source Channel Coding Scheme with Adaptive Feature Enhancement
Qingping YUYuan SUNYou ZHANGLongye WANGXingwang LI
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2025 年 E108.A 巻 4 号 p. 655-659

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In this paper, a feature-enhanced deep source channel joint coding scheme called DJSCC-E is proposed, considering the varying importance of transmitted data in DJSCC schemes and the diversity of target scales for encoding and decoding images. The scheme is designed with a Weight Adjustment Module (WAM) that adjusts the weight values of the feature images based on varying Signal-to-Noise Ratio (SNR). Furthermore, a multi-scale encoder-decoder structure is proposed to optimize the encoding and decoding of target information at different scales. The experimental results demonstrate that the DJSCC-E scheme enhances the Peak Signal-to-Noise Ratio (PSNR) of the reconstructed image by approximately 0.7 dB compared to the current DJSCC scheme when the SNR of the AWGN channel falls within the range of 0 to 20 dB, while reducing the number of parameters.

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© 2025 The Institute of Electronics, Information and Communication Engineers
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