Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels
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...
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| creator | Howard, Scott Barthelmes, Grant Ravasio, Cara Huang, Lisa Poag, Benjamin Mannam, Varun |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.2009.11455 |
| format | Article |
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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
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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.</description><subject>Computer Science - Multimedia</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj71OwzAYRb0woMIDMOERhgTbsR2bDVn8RKqgopEYI8d2i0XjVP5KRd--NDAd6Q5X5yB0RUnJlRDkzuafuC8ZIbqklAtxjj4W1n2FHTbjsM0BIHi8DAliWuNmsOsTbxZm2dze4_ex_4bdNAfcZptgiABxTHjch4xfxwgHbD5tSmEDF-hsZTcQLv85Q-3TY2teivnbc2Me5oWVtSiY15JT5hxX3HlGfh250JWXmjNGtROidt753lvr-apWlNA-cCqVFKqSNa1m6PrvdirrtjkONh-6U2E3FVZHv1JKSQ</recordid><startdate>20200923</startdate><enddate>20200923</enddate><creator>Howard, Scott</creator><creator>Barthelmes, Grant</creator><creator>Ravasio, Cara</creator><creator>Huang, Lisa</creator><creator>Poag, Benjamin</creator><creator>Mannam, Varun</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20200923</creationdate><title>Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels</title><author>Howard, Scott ; Barthelmes, Grant ; Ravasio, Cara ; Huang, Lisa ; Poag, Benjamin ; Mannam, Varun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a675-2d96412cc484cd205504593d6942219c557cdcdbdaad4f78101be416865836713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Computer Science - Multimedia</topic><toplevel>online_resources</toplevel><creatorcontrib>Howard, Scott</creatorcontrib><creatorcontrib>Barthelmes, Grant</creatorcontrib><creatorcontrib>Ravasio, Cara</creatorcontrib><creatorcontrib>Huang, Lisa</creatorcontrib><creatorcontrib>Poag, Benjamin</creatorcontrib><creatorcontrib>Mannam, Varun</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Howard, Scott</au><au>Barthelmes, Grant</au><au>Ravasio, Cara</au><au>Huang, Lisa</au><au>Poag, Benjamin</au><au>Mannam, Varun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels</atitle><date>2020-09-23</date><risdate>2020</risdate><abstract>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.</abstract><doi>10.48550/arxiv.2009.11455</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Multimedia |
| title | Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels |
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