Science-based Region-of-Interest Image CompressionAs the number of currently active space missions increases, so does competition for Deep Space Network (DSN) resources. Even given unbounded DSN time, power and weight constraints onboard the spacecraft limit the maximum possible data transmission rate. These factors highlight a critical need for very effective data compression schemes. Images tend to be the most bandwidth-intensive data, so image compression methods are particularly valuable. In this paper, we describe a method for prioritizing regions in an image based on their scientific value. Using a wavelet compression method that can incorporate priority information, we ensure that the highest priority regions are transmitted with the highest fidelity.
Document ID
20040061984
Acquisition Source
Johnson Space Center
Document Type
Conference Paper
Authors
Wagstaff, K. L. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Castano, R. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Dolinar, S. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Klimesh, M. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Mukai, R. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 21, 2013
Publication Date
January 1, 2004
Publication Information
Publication: Lunar and Planetary Science XXXV: Image Processing and Earth Observations