Robust Image Identification for Double-Compressed and Resized JPEG Images

TL;DR

This paper presents a new method for identifying JPEG images that have been double-compressed and resized, using DC coefficient features to achieve robustness against common image sharing transformations.

Contribution

The proposed scheme uniquely utilizes DC coefficient features for robust identification of double-compressed, resized JPEG images, addressing a common challenge in social media image sharing.

Findings

Effective in identifying double-compressed images with different sizes

Robust against errors caused by double-compression

Demonstrates high querying performance in simulations

Abstract

In the case that images are shared via social networking services (SNS) and cloud photo sharing services (CPSS), it is known that the JPEG images uploaded to the services are often re-compressed and resized by the providers. Because of such a situation, a new image identification scheme for double-compressed JPEG images having different sizes from that of a singled-compressed one is proposed in this paper. The aim is to detect a single-compressed image that has the same original image as the double-compressed ones, even when the sizes of those compressed images are different. In the proposed scheme, a feature extracted from only DC coefficients in DCT coefficients is used for the identification. The use of the feature allows us not only to robustly avoid errors caused by double-compression but also to perform the identification for different size images. The simulation results demonstrate the effectiveness of the proposed one in terms of the querying performance.