An Improved JPEG Image Blocking Artifact Detector

IF 1 4区 生物学 Q3 BIOLOGY
Ashish Soni, Shivani Sharma, Dinesh Bhardwaj, Sachin Kumar
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引用次数: 0

Abstract

: Sharing digital images on social media has become very common these days. People must check for authenticity to share images on social media websites. The shared image may be forged intentionally or unintentionally and can defame someone's reputation, leading to severe events, such as public riots. Thus, authentication of digital images which are posted on social media websites is of paramount importance. Our social media should be intelligent enough to check on these forged images such that no false information spreads around society. Many image forgery detection algorithms have been used by big social groups based on JPEG compression artifacts, but these may not work
一种改进的JPEG图像块伪影检测器
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来源期刊
CiteScore
1.80
自引率
0.00%
发文量
116
审稿时长
3 months
期刊介绍: Information not localized
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