In this paper, we concentrate on mutual scan-line fractal coding (MSFC), which is a novel fractal coding approach, and its performance. The purposes of this study are to examine the advantages and disadvantages of the MSFC. The main idea of this approach is to make use of similarity of each imaging scan-line pair. In this method, the domain pool is designed by using equivalent property of two complete metric spaces. Then, the domain-range mapping, which is at the heart of iterated contractive transformation, is implemented with a pair of contractive affine transformations for generating mutual fractal codes. This method provides the small size of domain pools, thus speeding up the encoding time. The experimental results illustrate that the proposed approach can reduce both encoding and decoding times and also maintain coding efficiency in bit rate at the range of 1.2-2.5 bpp, without any entropy encoding at the end of the scheme.