HSB-SPAM: An Efficient Image Filtering Detection Technique

被引:4
作者
Agarwal, Saurabh [1 ,2 ]
Jung, Ki-Hyun [2 ]
机构
[1] Amity Univ Uttar Pradesh, Amity Sch Engn & Technol, Noida 201301, India
[2] Kyungil Univ, Dept Cyber Secur, Gyeongbuk 38428, South Korea
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 09期
基金
新加坡国家研究基金会;
关键词
image forensics; higher significant bit-plane; median filtering detection; image forgery detection; fake image; Markov chain; FORENSICS; MODEL;
D O I
10.3390/app11093749
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Median filtering is being used extensively for image enhancement and anti-forensics. It is also being used to disguise the traces of image processing operations such as JPEG compression and image resampling when utilized in image de-noising and smoothing tool. In this paper, a robust image forensic technique namely HSB-SPAM is proposed to assist in median filtering detection. The proposed technique considers the higher significant bit-plane (HSB) of the image to highlight the statistical changes efficiently. Further, multiple difference arrays along with the first order pixel difference is used to separate the pixel difference, and Laplacian pixel difference is applied to extract a robust feature set. To compact the size of feature vectors, the operation of thresholding on the difference arrays is also utilized. As a result, the proposed detector is able to detect median, mean and Gaussian filtering operations with higher accuracy than the existing detectors. In the experimental results, the performance of the proposed detector is validated on the small size and post JPEG compressed images, where it is shown that the proposed method outperforms the state of art detectors in the most of the cases.
引用
收藏
页数:17
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