1994Electronics LettersRequires access

Image compression using quadtree partitioned iteratedfunctionsystems

Guojun Lu, Toon Lin Yew

Open publisher page 16 citations

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.

About this research paper

What this paper is about

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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OpenAlex reports 16 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Quadtree, Iterated function system, Image compression, Iterated function, Compression (physics), Block (permutation group theory), Data compression, Computer science

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