Fan W., Valenzise G., Banterle F., Dufaux F.
High dynamic range imaging [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Fisher scores Computer Vision and Pattern Recognition Signal Processing Control and Systems Engineering [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Electrical and Electronic Engineering [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing high dynamic range imaging inverse tone mapping Digital image forensics Software Inverse tone mapping
High dynamic range (HDR) imaging enables to capture the full range of physical luminance of a real world scene, and is expected to progressively replace traditional low dynamic range (LDR) pictures and videos. Despite the increasing HDR popularity, very little attention has been devoted to new forensic problems that are characteristic to this content. In this paper, we address for the first time such kind of problem, by identifying the source of an HDR picture. Specifically, we consider the two currently most common techniques to generate an HDR image: by fusing multiple LDR images with different exposure time, or by inverse tone mapping an LDR picture. We show that, in order to apply conventional forensic tools to HDR images, they need to be properly preprocessed, and we propose and evaluate a few simple HDR forensic preprocessing strategies for this purpose. In addition, we propose a new forensic feature based on Fisher scores, calculated under Gaussian mixture models. We show that the proposed feature outperforms the popular SPAM features in classifying the HDR image source on image blocks as small as 3 x 3, which makes our method suitable to detect composite forgeries combining HDR patches originating from different acquisition processes.
Source: Signal processing (Print) 152 (2018): 178–188. doi:10.1016/j.sigpro.2018.05.028
Publisher: Elsevier, Amsterdam , Paesi Bassi
@article{oai:it.cnr:prodotti:392816, title = {Fine-grained detection of inverse tone mapping in HDR images}, author = {Fan W. and Valenzise G. and Banterle F. and Dufaux F.}, publisher = {Elsevier, Amsterdam , Paesi Bassi}, doi = {10.1016/j.sigpro.2018.05.028}, journal = {Signal processing (Print)}, volume = {152}, pages = {178–188}, year = {2018} }
Signal Processing
Hyper Article en Ligne
www.sciencedirect.com