Abstract: The compression algorithm presented here is intended for the types of digital images acquired by solar system exploring spacecraft and missions, but can be utilized for all types of sequential data. It is lossy, but results in images whose Peak Signal to Noise Ratio remains in excess of 30 decibels, considered to be the threshold of being indistinguishable from the original image. Currently employed spacecraft compression algorithms are probabilistic, and are costly in terms of spacecraft weight, power, computation, memory and volume requirements. The algorithm submitted is non-probabilistic, requires less than 1 kilobyte of programming and memory space for computations, has low power and weight requirements, and can reside on a single Application Specific Integrated Circuit (ASIC), and. It processes utilizing addition and comparison only—no advanced numerical solution generation, function generation by series expansion, or other mathematical processing is required.

Abstract: The compression algorithm presented here is intended for the types of digital images acquired by solar system exploring spacecraft and missions, but can be utilized for all types of sequential data. It is lossy, but results in images whose Peak Signal to Noise Ratio remains in excess of 30 decibels, considered to be the threshold of being indistinguishable from the original image. Currently employed spacecraft compression algorithms are probabilistic, and are costly in terms of spacecraft weight, power, computation, memory and volume requirements. The algorithm submitted is non-probabilistic, requires less than 1 kilobyte of programming and memory space for computations, has low power and weight requirements, and can reside on a single Application Specific Integrated Circuit (ASIC), and. It processes utilizing addition and comparison only—no advanced numerical solution generation, function generation by series expansion, or other mathematical processing is required.