随着智能手机的普及应用和地理信息提取技术的发展,将智能手机拍摄的数码照片中包含有坐标信息的地物转换成地理信息数据成为可能。Exif是数码照片的元数据,在使用移动设备拍摄照片时,可将拍摄时用户的位置信息存储在Exif信息中。通过分...随着智能手机的普及应用和地理信息提取技术的发展,将智能手机拍摄的数码照片中包含有坐标信息的地物转换成地理信息数据成为可能。Exif是数码照片的元数据,在使用移动设备拍摄照片时,可将拍摄时用户的位置信息存储在Exif信息中。通过分析Exif的结构并提取地理位置信息,基于微信公众平台,结合ArcGIS API for JavaScript和腾讯地图API,设计出一套面向社会公众使用的地理信息数据采集工具,并在实地测试中得到了验证。该成果将为城市综合治理、自然资源调查监测方面提供重要的技术支撑。展开更多
为探究Snapseed图像处理软件对JPEG图像的Exif信息和原始性的潜在影响,本文以JPEG图像为研究对象,利用Snapseed软件对图像进行处理,通过使用HashMyFiles、MagicExif元数据编辑器、Opanda PowerExif 1.2及WinHex等工具提取图像处理前后的...为探究Snapseed图像处理软件对JPEG图像的Exif信息和原始性的潜在影响,本文以JPEG图像为研究对象,利用Snapseed软件对图像进行处理,通过使用HashMyFiles、MagicExif元数据编辑器、Opanda PowerExif 1.2及WinHex等工具提取图像处理前后的MD5值进行数据完整性校验,同时,利用工具记录图像处理前后的详细Exif信息并检查分析潜在的数据变化。实验结果表明,Snapseed软件导致JPEG图像的Exif信息和原始性发生了根本性的变化,包括部分原始信息被修改或删除、MD5值改变等。因此,在当前Snapseed软件在日常生活中使用频繁的情况下,需要关注其在司法鉴定和数字图像取证等领域中的应用。要确保重要照片原始性和元数据信息不被改变,首先,保留原始文件,不对图像做导入–导出、编辑操作;其次,确认拍摄信息;最后,考虑写入数字签名,以确保照片的原始性不被改变。In this paper, to investigate the potential effects of Snapseed image processing software on Exif information and originality of JPEG images, JPEG images were taken as the research object, and the images were processed using Snapseed software, and the MD5 values before and after image processing were extracted for data integrity checking by using tools such as HashMyFiles, MagicExif metadata editor, Opanda PowerExif 1.2 and WinHex, and at the same time, the tools were used to record the detailed Exif information before and after image processing and check and analyze the potential data changes. The experimental results show that the Snapseed software leads to fundamental changes in the Exif information and originality of JPEG images, including the modification or deletion of some of the original information and changes in the MD5 value. Therefore, in the current situation where Snapseed software is frequently used in daily life, it is necessary to pay attention to its application in the fields of forensics and digital image forensics, etc. Wanting to make sure that the originality and metadata information of important photographs are not altered, firstly, retain the original files without import-export and editing operations on the images;secondly, confirm the information of the shooting;and finally, consider writing a digital signature to ensure that the originality of the photo is not changed.展开更多
Recently, the digital image blind forensics technology has received an increasing attention in academic community. This paper aims at developing a new identification approach based on the statistical noise and exchang...Recently, the digital image blind forensics technology has received an increasing attention in academic community. This paper aims at developing a new identification approach based on the statistical noise and exchangeable image file format （EXIF） information of image for images authen- tication. In particular, the authors can identify whether the current image has been modified or not by utilizing the relevance between noise and EXIF parameters and comparing the real values with the estimated values of the EXIF parameters. Experimental results validate the proposed method. That is, the detecting system can identify the doctored image effectively.展开更多
文摘随着智能手机的普及应用和地理信息提取技术的发展,将智能手机拍摄的数码照片中包含有坐标信息的地物转换成地理信息数据成为可能。Exif是数码照片的元数据,在使用移动设备拍摄照片时,可将拍摄时用户的位置信息存储在Exif信息中。通过分析Exif的结构并提取地理位置信息,基于微信公众平台,结合ArcGIS API for JavaScript和腾讯地图API,设计出一套面向社会公众使用的地理信息数据采集工具,并在实地测试中得到了验证。该成果将为城市综合治理、自然资源调查监测方面提供重要的技术支撑。
文摘为探究Snapseed图像处理软件对JPEG图像的Exif信息和原始性的潜在影响,本文以JPEG图像为研究对象,利用Snapseed软件对图像进行处理,通过使用HashMyFiles、MagicExif元数据编辑器、Opanda PowerExif 1.2及WinHex等工具提取图像处理前后的MD5值进行数据完整性校验,同时,利用工具记录图像处理前后的详细Exif信息并检查分析潜在的数据变化。实验结果表明,Snapseed软件导致JPEG图像的Exif信息和原始性发生了根本性的变化,包括部分原始信息被修改或删除、MD5值改变等。因此,在当前Snapseed软件在日常生活中使用频繁的情况下,需要关注其在司法鉴定和数字图像取证等领域中的应用。要确保重要照片原始性和元数据信息不被改变,首先,保留原始文件,不对图像做导入–导出、编辑操作;其次,确认拍摄信息;最后,考虑写入数字签名,以确保照片的原始性不被改变。In this paper, to investigate the potential effects of Snapseed image processing software on Exif information and originality of JPEG images, JPEG images were taken as the research object, and the images were processed using Snapseed software, and the MD5 values before and after image processing were extracted for data integrity checking by using tools such as HashMyFiles, MagicExif metadata editor, Opanda PowerExif 1.2 and WinHex, and at the same time, the tools were used to record the detailed Exif information before and after image processing and check and analyze the potential data changes. The experimental results show that the Snapseed software leads to fundamental changes in the Exif information and originality of JPEG images, including the modification or deletion of some of the original information and changes in the MD5 value. Therefore, in the current situation where Snapseed software is frequently used in daily life, it is necessary to pay attention to its application in the fields of forensics and digital image forensics, etc. Wanting to make sure that the originality and metadata information of important photographs are not altered, firstly, retain the original files without import-export and editing operations on the images;secondly, confirm the information of the shooting;and finally, consider writing a digital signature to ensure that the originality of the photo is not changed.
基金supported by the National Natural Science Foundation of China under Grant Nos.61370195and 11101048Beijing Natural Science Foundation under Grant No.4132060the National Cryptography Development Foundation of China under Grant No.MMJJ201201002
文摘Recently, the digital image blind forensics technology has received an increasing attention in academic community. This paper aims at developing a new identification approach based on the statistical noise and exchangeable image file format （EXIF） information of image for images authen- tication. In particular, the authors can identify whether the current image has been modified or not by utilizing the relevance between noise and EXIF parameters and comparing the real values with the estimated values of the EXIF parameters. Experimental results validate the proposed method. That is, the detecting system can identify the doctored image effectively.
