Abstract
In this paper, simplicity of prediction models for image transformation is used to introduce a low complex and efficient lossless compression method for LiDAR rasterized data and RS grayscale images based on improving the energy compaction ability of prediction models. Further, proposed method is applied on some RS images and LiDAR test cases, and the results are evaluated and compared with other compression methods such as lossless JPEG and lossless version of JPEG2000. Results indicate that the proposed lossless compression method causes the high speed transmission system because of good compression ratio and simplicity and suggest to use in real time processing.
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