Title
Extracting watermarks from printouts captured with wide angles using computational photography.
Abstract
Thus far the research of print-cam robust watermarking methods has focused on finding new methods for embedding and extracting the watermark. However, the capturing process itself, has been neglected in scientific research. In this paper, we propose a solution for the situation when the watermarked image has been captured in a wide angle and the depth of focus of the camera is not deep enough to capture the whole scene in-focus resulting in unfocused areas. The solution proposed here relies on a subfield of computational photography, namely all-in-focus imaging. All-in-focus images are generated by fusing multiple images from the same scene with different focus distances together, so that the object being photographed is fully in focus. Traditionally, the images to be fused are selected by hand from the focal stack or the whole stack is used for building the all-in-focus image. In mobile phone applications, computational resources are limited and using the full focal stack would result in long processing times and the manual selection of images would not be practical. In addition, we propose a method for optimizing the size of the focal stack and automatically selecting appropriate images for fusion. It is shown here that a watermark can still be recovered from the reconstructed all-in-focus image accurately.
Year
DOI
Venue
2017
10.1007/s11042-016-3895-z
Multimedia Tools Appl.
Keywords
Field
DocType
Print-cam,Camera phone,Digital watermarking,Computational photography,All-in-focus imaging,Focal stack optimization
Camera phone,Depth of focus,Computer vision,Digital watermarking,Embedding,Computer graphics (images),Computer science,Computational photography,Watermark,Artificial intelligence,Mobile phone
Journal
Volume
Issue
ISSN
76
15
1380-7501
Citations 
PageRank 
References 
4
0.42
18
Authors
4
Name
Order
Citations
PageRank
Anu Pramila1394.26
Anja Keskinarkaus2587.17
Valtteri Takala31115.81
Tapio Seppänen460484.33