IVMMSep 24, 2020

Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels

arXiv:2009.11455v12 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of image distortion or loss in weak signal environments for applications like low-power microcontrollers and digital communication, though it appears incremental as it builds on compressed sensing concepts for a specific use case.

The paper tackles robust image transmission over noisy channels by introducing Packet Compressed Sensing Imaging (PCSI), a method where each packet contains random pixel information from the entire image, allowing image quality to improve with each received packet. It achieves satisfactory 320x240 pixel images in about 1-2 minutes at 1200 baud AFSK, comparable to analog SSTV transmission times.

Packet Compressed Sensing Imaging (PCSI) is digital unconnected image transmission method resilient to packet loss. The goal is to develop a robust image transmission method that is computationally trivial to transmit (e.g., compatible with low-power 8-bit microcontrollers) and well suited for weak signal environments where packets are likely to be lost. In other image transmission techniques, noise and packet loss leads to parts of the image being distorted or missing. In PCSI, every packet contains random pixel information from the entire image, and each additional packet received (in any order) simply enhances image quality. Satisfactory SSTV resolution (320x240 pixel) images can be received in ~1-2 minutes when transmitted at 1200 baud AFSK, which is on par with analog SSTV transmission time. Image transmission and reception can occur simultaneously on a computer, and multiple images can be received from multiple stations simultaneously - allowing for the creation of "image nets." This paper presents a simple computer application for Windows, Mac, and Linux that implements PCSI transmission and reception on any KISS compatible hardware or software modem on any band and digital mode.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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