One of the major deficiencies of stereoscopic visualization, viewer discomfort, can be caused by the non-robustness of human perception or by excessive 3D cues in the viewed images. In order to minimize this discomfort, the amount of parallax within each stereo pair needs to be reduced. Similarly to the case of 'continuous look-around', parallax adjustment requires the knowledge of images from virtual cameras. In the case of parallel geometry, the virtual cameras are located on the line between the true cameras. Since in a general scenario no constraint should be posed on the complexity of the viewed scene, 3D modeling techniques cannot be used. We evaluate the usefulness of parallax adjustment using two view reconstruction methods based on disparity-compensated linear interpolation: a quadtree method with block splitting adapted to object boundaries and a pixel based method. For all, but most complex stereoscopic images tested both algorithms performed very well, especially the pixel-based approach. In terms of the overall usefulness of parallax adjustment, the initial test have shown a very favorable viewer response; the perceived depth was judged to vary smoothly from zero through natural 3D to exaggerated 3D. The adjustment was convincing although not completely free of distortions.