Fractal Image Compression Original Algorithm
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Fractal image compression algorithm effectively reduces image file size while maintaining visual quality. The fundamental principle involves identifying self-similar patterns within images, encoding these patterns, and storing them for later reconstruction. Jacin's block-based compression approach, a widely-used fractal compression method, partitions images into multiple blocks and leverages inter-block similarities for compression. Algorithm implementation typically involves domain-range block matching using affine transformations and iterative function systems. Key computational steps include quadtree partitioning, contrast scaling, and luminance shifting operations. Through fractal compression techniques, we achieve significant file size reduction while preserving image details and quality through mathematical transformations rather than pixel-level storage.
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