Abstract
Compression reduces redundancy in data representation in order to achieve saving in the cost of storage and transmission. Image compression compensates for the limited on-board resources, in terms of mass memory and downlink and thus it provides a solution to the bandwidth vs. data volume dilemma of modern spacecraft. Thus compression is very important feature in payload image processing units of many satellites. A low complexity and high efficiency near-lossless image compression algorithm is suggested in this paper. The algorithm provides the average compression ratio of 1.403 with high image quality for lossless compression. Compression ratio increases as ∆ parameter increases. Using proposed algorithm compression ratio of 4.208 is achieved for near-lossless compression. The proposed algorithm has low memory cost suitable for hardware implementation.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
