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Title: Forensics of decompressed JPEG color images based on chroma subsampling
Authors: Kumawat C.
Pankajakshan, Vinod
Published in: 2021 National Conference on Communications, NCC 2021
27th National Conference on Communications, NCC 2021
Abstract: Identification of the type of chroma subsampling in a decompressed JPEG color image stored in a lossless format is important in forensic analysis. It is useful in many forensic scenarios like detecting localized forgery and estimating the quantization step sizes in the chroma planes for source camera identification. In this work, we propose a machine learning-based method capable of identifying the chroma subsampling used in the compression process. The method is based on detecting the change in adjacent pixel correlations due to upsampling process in JPEG decompression. These changes in the correlation are measured using the two-sample Kolmogorov-Smirnov (KS) test statistic in different directions. The experimental results show the efficacy of the proposed method in identifying the chroma subsampling scheme. © 2021 IEEE.
Citation: 2021 National Conference on Communications, NCC 2021 (2021)
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Chroma subsampling
Fancy upsampling
JPEG compression
JPEG Forensics
ISBN: 9.78167E+12
Author Scopus IDs: 57201898896
Author Affiliations: Kumawat, C., IIT Roorkee, Department of ECE, Roorkee, India
Pankajakshan, V., IIT Roorkee, Department of ECE, Roorkee, India
Appears in Collections:Conference Publications [ECE]

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