Natural Image Correction by Iterative Linear Projection onto Eigenspaces

The present paper reports an image correction method that is based on iterative projection onto eigenspaces. The fundamental method proposed in Shakunaga and Sakaue[ll] and involves iterative analysis of relative residual and projection. The present paper refines the projection method by solving linear equations while taking noise ratio into account. The refinement improves both the efficiency and robustness of the projection. Experimental results indicate that the proposed method works well for various kinds of noise, including shadows, reflections and occlusions. The proposed method can be applied t o a wide variety of computer vision problems, which include objectiface recognition and image-based rendering.