A Hybrid DPCM-DCT and RLE Coding for Satellite Image Compression
There are many ways to encode, represent, and compress satellite images. Today, with the huge technological advance, algorithms are used to perform many calculations to compress and decompress a satellite image. The future of the compression can take place only through mathematical algorithms, and the progress of mathematical research undoubtedly will lead to an advance in image and file compression. In this paper, we propose a hybrid DPCM-DCT predictive coding and discrete cosine transform DCT and, run-length encoding (RLE) for satellite image compression.
Keywords: Compression, satellite images, DCT, DPCM.
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ABOUT THE AUTHORS
Khaled Sahnoun
Laboratory of Analysis and Application of Radiation (LAAR) Department of Physics, University of Sciences and Technology of Oran (USTOMB)
Noureddine Benabadji
Laboratory of Analysis and Application of Radiation (LAAR) Department of Physics, University of Sciences and Technology of Oran (USTOMB)
Khaled Sahnoun
Laboratory of Analysis and Application of Radiation (LAAR) Department of Physics, University of Sciences and Technology of Oran (USTOMB)
Noureddine Benabadji
Laboratory of Analysis and Application of Radiation (LAAR) Department of Physics, University of Sciences and Technology of Oran (USTOMB)
