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This article discusses the challenges of image segmentation and compares dense and sparse bitmask formats. It introduces Run-Length Encoding (RLE) and Run-End Encoding (REE) as efficient solutions for storing segmentation masks. REE improves space efficiency and speed by enabling faster pixel lookup and Boolean operations. Binary tree compression is explored to further optimize REE for large-scale tasks.
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