Institutional Repository

Image coding with fractal vector quantization

Show simple item record Cloete, E Venter, LM 2018-06-15T07:27:18Z 2018-06-15T07:27:18Z 2000 2000
dc.identifier.citation Cloete E & Venter LM (2000) Image coding with fractal vector quantization. South African Computer Journal, Number 25, 2000 en
dc.identifier.issn 2313-7835
dc.description.abstract In this paper, we address the time complexity problem associated with fractal image coding. In particular, we describe a new hybrid technique called Fractal Vector Quantization (FVQ), which takes advantage of the best qualities in fractal coding and vector quantization (VQ). In our proposed approach, VQ is used to construct a set of real world building blocks which can be used to approximate an arbitrary image. Fractal coding is then employed to fractalize the building blocks by finding an affine transformation for each block which best describes the block. The real world building blocks with their affine transformations are compiled in a fractal dictionary. To encode an image, FVQ approximates the image with a set of affine transformations from the precompiled fractal dictionary. The decoder uses a standard fractal decoding algorithm since the fractal dictionary is not required by the decoder. en
dc.language.iso en en
dc.publisher South African Computer Society (SAICSIT) en
dc.subject Fractal compression en
dc.subject Image coding en
dc.subject Vector quantization en
dc.title Image coding with fractal vector quantization en
dc.type Article en

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search UnisaIR


My Account