Title :
RAW tool identification through detected demosaicing regularity
Author :
Cao, Hong ; Kot, Alex C.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
RAW tools are PC software tools that develop the RAWs, i.e. the camera sensor data, into full-color photos. In this paper, we propose to study the internal processing characteristics of these RAW tools using 3 heterogeneous sets of demosaicing features. Through feature-level fusion, normalization and an Eigen-space regularization technique, we derive a compact set of discriminant features. Experimentally, we find that the compact feature set can be used to accurately distinguish 40 RAW-tool classes. A dissimilarity study also shows that the cropped image blocks from different RAW-tool or positional classes have a great deal of dissimilarity in our extracted demosaicing features.
Keywords :
filtering theory; image colour analysis; image segmentation; software tools; PC software tools; RAW tool identification; compact feature set; cropped image blocks; demosaicing regularity; discriminant features; eigen-space regularization technique; feature-level fusion; full-color photos; normalization; Color; Colored noise; Digital cameras; Digital filters; Feature extraction; Filtering; Image quality; Image sensors; Sensor arrays; Sensor phenomena and characterization; CFA; DSLR; RAW tool; demosaicing; image regularity; source identification;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414569