•  
  •  
 

Turkish Journal of Electrical Engineering and Computer Sciences

A Fractal Image Coding Scheme Based on Norm

DOI

-

Abstract

In this paper we discuss the metric used for the search of self-similarity at different scales in fractal coding of images. It is well known that the quality of decoded images depends directly on the efficiency of the measurement of the self-similarity between objects of the original image. We present two coding schemes based on L_2 and L_{infinite} metrics. The L_2 metric, widely used in fractal coding algorithms, measures a global distortion. On the contrary, L_{infinite} gives the maximum grey level error between the pixels of two objects and enables this local error to be controlled. The performance of these schemes is compared with various standard images in terms of PSNR and maximum local distortion. L_{infinite} metric speeds up the coding process and avoids local distortion peaks. L_2 provides a better perceptual quality of the decoded images.

Keywords

image coding, fractal coding, L_2 metric, L_{infinite} metric.

First Page

113

Last Page

125

This document is currently not available here.

Share

COinS