This study compares two fractal interpolation schemes based on fractional Brownain motion (fBm) with two conventional interpolation schemes: bilinear interpolation and cubic convolution. Numerical experiments are performed with one pair of digitized stereo photographs. The original image is reduces to a lower spatial resolution for interpolation. The statistic indices such as the root mean square error, average error, maximum deviation, and correlation coefficient derived by comparing interpolated and the reference images are applied for the evaluation. Besides, an image matching based on least squares is also utilized for comparison. All quality measures indicate that the conventional interpolation schemes are better than the fractal-based schemes.