Reconstruction of 3-D image from stereo pictures

The aim of this article is description of the algorithms which are suitable for 3-D Image Reconstruction from stereo pictures for the multimedia For this reason its basic algorithm was modified and an approach of 2-D and 3-D Cost functions were introduced. It helps to improve results of the reconstruction by additional algorithms. The algorithms, such as applications of 2-D Average filter, 2-D Wiener filter, approach with Dynamic Programming, False Minimum Correction were used for a noise filtering and correction of the Cost function. A result of the 3-D Image Reconstruction - Depth map was counted from the Cost function. All of the algorithms were proved experimentally. Results of the experiments are presented to be compared with each other.