MMMar 15, 2018

A nonlinear transform based analog video transmission framework

arXiv:1803.05596v1
Originality Incremental advance
AI Analysis

This work improves video transmission quality for wireless systems, but it is incremental as it builds upon the existing Soft-cast framework.

The paper tackles the problem of wireless video transmission by proposing a nonlinear transform-based analog framework to address drawbacks of digital methods, achieving a PSNR gain of 1.08 dB and MSSIM gain of 2.35% compared to Soft-cast under the same bandwidth and power constraints.

Soft-cast, a cross-layer design for wireless video transmission, is proposed to solve the drawbacks of digital video transmission: threshold transmission framework achieving the same effect. Specifically, in encoder, we carry out power allocation on the transformed coefficients and encode the coefficients based on the new formulation of power distortion. In decoder, the process of LLSE estimator is also improved. Accompanied with the inverse nonlinear transform, DCT coefficients can be recovered depending on the scaling factors , LLSE estimator coefficients and metadata. Experiment results show that our proposed framework outperforms the Soft-cast in PSNR 1.08 dB and the MSSIM gain reaches to 2.35% when transmitting under the same bandwidth and total power.

Foundations

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