An Extension of CCSDS Algorithm by ROI Capability

In the modern compression system, besides high compression qualities and low bit rates, others extra functional capabilities become more and more important. For the use of satellite images, the data size is always very large and the users might be just interested in some regions of a satellite image. Thus it is an ideal way to keep the better quality in the regions of interest than in others in a satellite image. In JPEG2000 standard part I, the region of interest (ROI) is implemented by MAXSHIFT, which needs to generate an ROI mask with extra memory space. For the computers in a satellite, lower computing complexity and fewer memory are required. Thus the Consultative Committee for Space Data Systems Recommendation (CCSDS) proposes a specification of image data compression for satellite images. An ROI extension based on CCSDS is proposed in our study. Experimental results show that it saves more compression time and moreover it is competitive with the JPEG2000 standard without the memory used for masks.