Conditions for Effective Detection and Identification of Primary Quantization of Re-Quantized JPEG Images

Author(s):  
Matthew J. Sorell

The choice of Quantization Table in a JPEG image has previously been shown to be an effective discriminator of digital image cameras by manufacturer and model series. When a photograph is recompressed for transmission or storage, however, the image undergoes a secondary stage of quantization. It is possible, however, to identify primary quantization artifacts in the image coefficients, provided that certain image and quantization conditions are met. This chapter explores the conditions under which primary quantization coefficients can be identified, and hence can be used image source identification. Forensic applications include matching a small range of potential source cameras to an image.

2018 ◽  
Vol 31 (19) ◽  
Author(s):  
Yuying Liu ◽  
Yonggang Huang ◽  
Jiao Zhang ◽  
Hualei Shen

2015 ◽  
Vol 72 (8) ◽  
pp. 1428-1436 ◽  
Author(s):  
Jin Zhang ◽  
Pei Hua ◽  
Peter Krebs

This study showcases the chemical fractionation and primary source identification of Cu, Zn and Cd in road-deposited sediment. Results show that Zn and Cd were identified as easily mobilised and biologically available metals that pose high risks to the receiving aquatic environments. However, Cu was released in substantial amounts only under relatively extreme conditions. With the assistance of principal component analysis and chemical fractionation, two primary contributors to heavy metals in road-deposited sediment were tentatively identified as vehicle-related sources (especially, auto brake pad erosion for Cu and tyre debris for Zn) and atmospheric deposition (especially for Cd).


2017 ◽  
Vol 76 ◽  
pp. 418-427 ◽  
Author(s):  
Luis Javier García Villalba ◽  
Ana Lucila Sandoval Orozco ◽  
Jocelin Rosales Corripio ◽  
Julio Hernandez-Castro

Author(s):  
Yuying Liu ◽  
Yonggang Huang ◽  
Jun Zhang ◽  
Xu Liu ◽  
Hualei Shen

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