Robust edit propagation based on Hessian Local Linear Embedding

Abstract

Edit propagation is a technique that can propagate various image edits (e.g., colorization and recoloring) performed via user strokes to the entire image based on similarity of image features. Although manifold preserving has been used for edit propagation, there is still much room for improvement. To this end, this paper proposes an edit propagation method based on Hessian Local Linear Embedding which is a modification of locally-linear embedding, with the distributed field descriptor as the image features. We demonstrate the proposed edit propagation approach can achieve better results than previous work.