Topocode: Topologically Informed Error Detection and Correction in Image Communication Systems

Immersive communication technologies such as eXtended Reality (XR) and holographic-type communications require high-data-rate low-latency services. Due to the massive amount of transmitted data, bit-level metrics cannot comprehensively evaluate the Quality-of-Experience (QoE) in these scenarios. This letter proposes Topocode which leverages Topological Data Analysis (TDA) and persistent homology to encode topological information for message-level error detection and correction in image communication systems. It introduces minimal redundancy while enabling effective data reconstruction, especially in low Signal-to-Noise Ratio (SNR) scenarios. Topocode offers a promising approach to meet the demands of next-generation communication systems prioritizing message-level integrity.