Seyed Mahdi Shariatzadeh - Sharif University of Technology, Faculty of Mathematical Sciences, Computer Science Department, Tehran,Iran
Shohreh Kasaei - Sharif University of Technology, Department of Computer Engineering, Tehran, Iran,
Nezam Mahdavi-Amiri - Sharif University of Technology, Faculty of Mathematical Sciences, Computer Science Department,Tehran, Iran,

Image completion is an active subject in image andvideo processing, which deals with recovering the missing orremoved parts of a given 2-D or 3-D data. Here, we present amethod to efficiently build the multiresolution pyramid for apartially-missing image, by which, multiresolution imagecompletion can be efficiently initialized and performed. Usingthis approach, we improve our previous algorithm formultiresolution image completion, especially when the inputssuffer spread missing areas. In comparison with the overallprocess of image completion, the computational and spacecomplexity of the proposed method for building multiresolutionpyramid is eligible. The obtained results of our proposedmethod show the effectiveness

Hierarchical image processing, image andvideo completion, down-sampling image signals