Source Cell-phone Identification

Oya Celiktutan, I. Avcibas, B. Sankur, N. P. Ayerden, C. Capar
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引用次数: 52

Abstract

In this paper, we focus on blind source cell-phone identification problem. The main idea is that proprietary interpolation algorithm (involved due to the structure of color filter array [CFA]) leaves footprints in the form of correlations across adjacent bit planes of images. For this purpose, we explore a set of binary similarity measures, image quality measures and higher order wavelet statistics in conjunction with KNN and SVM classifiers to identify the originating cell-phone. We provide identification results among 9 different brand cell-phone cameras
源手机识别
本文主要研究手机盲源识别问题。其主要思想是专有的插值算法(由于颜色滤波器阵列[CFA]的结构而涉及)以图像相邻位平面的相关性形式留下足迹。为此,我们探索了一组二值相似度量、图像质量度量和高阶小波统计,并结合KNN和SVM分类器来识别原始手机。我们提供了9个不同品牌手机摄像头的识别结果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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