The MPS application of integrating soft data and hard data

Reconstruction of images will be inaccurate when no conditional data or only hard data are available. Accuracy of reconstructed images can be improved, using soft data during the process of reconstruction. Integrating soft data with hard data, a method based on multiple-point geostatistics (MPS) is proposed to reconstruct images. During the process of regenerating typical patterns in a training image, the accuracy of reconstructed images is improved, using both soft data and hard data as conditional data. The experimental results show that the method is practical.