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Author Chu, Xiaoyu ♦ Stamm, Matthew C. ♦ Lin, W. Sabrina ♦ Liu, K. J. Ray
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Compressive Sensing ♦ Forensic Identification Compressively Sensed Image ♦ Standard Digital Camera ♦ Second Step ♦ Digital Image ♦ First Step ♦ Recent Research ♦ First Step Identifies ♦ Undergone Discrete Wavelet Transform ♦ Image Acquisition ♦ Storage History ♦ Great Deal ♦ Dwt-based Technique ♦ False Alarm ♦ Step Detection Scheme ♦ New Acquisition Technique ♦ Important Problem ♦ Digital Image Forensics
Abstract Due to the ease with which digital images can be forged, a great deal of work has been done in the field of digital image forensics. A particularly important problem is to forensically determine an image’s acquisition and storage history. Recent research has shown that a new acquisition technique known as compressive sensing can be used to capture a digital image. Images acquired by compressive sensing can not be easily forensically distinguished from the images captured using standard digital cameras, nor from those which have undergone Discrete Wavelet Transform (DWT) based compressions. In this paper, we propose a two step detection scheme to identify the images acquired by compressive sensing. The first step identifies unaltered images captured using standard digital cameras and the second step separates compressively sensed images from ones compressed using DWT-based techniques. Our simulations show the first step of detection can achieve a probability of detection (Pd) of 100 % for probability of false alarm (Pf) less than 4%, and the second step gets Pd nearly 90 % with Pf of 10%.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study