Color Images Compression by Vector-Based Fractal Method

スポンサーリンク

概要

• 論文の詳細を見る

• Since Mandelbrot proposed the fundamental theory of fractal, it has received considerable attention of researchers in many areas, including image compression. Jacquin is the first one who has successfully used it in real world image encoding. Because its performance in bit rate and decoding image quality is as well as many traditional method, such as VQ and DCT, it is regarded as a potential image coding scheme. The traditional approach to compress color images by fractal is to decompose the image into either R-G-B or Y-I-Q components and compress them respectivily. In this paper, by taking the advantage of high correlation between each component of an color image, a more efficient fractal compression method for color images based on vectors is firstly investigated. From the simulation result we will realize that lower bit rate can be achieved without any hurt of decoding image quality.

• 社団法人電子情報通信学会の論文
• 1998-01-21

著者

• Lin Chih-bin

  Department Of Electrical Engineering Of National Taiwan University

• Pei Soo-Chang

  Department of Electrical Engineering of National Taiwan University

• Pei Soo-chang

  Department Of Electrical Engineering National Taiwan University

関連論文

• Color Images Compression by Vector-Based Fractal Method
• A Robust Blind Image Watermarking Scheme Based on Vector Quantization(Image)

スポンサーリンク