Image compression using quadtree partitioned iteratedfunctionsystems
Guojun Lu, Toon Lin Yew
Abstract
Guojun Lu, Toon Lin Yew
Abstract
Partitioned iterated function systems have been used to compress images, but in previous work, images have been partitioned into fixed size blocks. The authors present an image compression techhique using variable block sizes based on quadtree partitioning. Experimental results show that it can achieve higher compression performance than the fixed-size partitioning technique.
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Partitioned iterated function systems have been used to compress images, but in previous work, images have been partitioned into fixed size blocks. The authors present an image compression techhique using variable block sizes based on quadtree partitioning. Experimental results show that it can achieve higher compression performance than the fixed-size partitioning technique.
Key concepts: Quadtree, Iterated function system, Image compression, Iterated function, Compression (physics), Block (permutation group theory), Data compression, Computer science