Fast image identification methods for JPEG images with different compression ratios

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Fitri Arnia, Ikue Iizuka, Masaaki Fujiyoshi, Hitoshi Kiya

2006 IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Vol. E89-A Issue 6 Conference paper Cited by 10 SDG 17SDG 9 Quartile

Abstract

Two schemes for fast identification of JPEG coded images are proposed in this paper. The aim is to identify the JPEG images that are generated from the same original image and have equivalent or different compression ratios. Fast identification can be achieved since the schemes work on the quantized Discrete Cosine Transform (DCT) domain. It is not required to inverse the quantization and the DCT. Moreover, only a few coefficients are commonly required for identification. The first approach can avoid identification leakage or false negative (FN), and probably result in a few false positives (FP). The second approach can avoid both FN and FP, with a slightly higher processing time. By combining the two schemes, a faster and a more perfect identification can be achieved, in which FN and FP can be avoided. copyright © 2006 The Institute of Electronics, Information and Communication Engineers.

Affiliations

Department of Electrical Engineering, Tokyo Metropolitan University, Hachioji-shi, 192-0397, Japan; Department of Information and Communication Systems Engineering, Tokyo Metropolitan University, Hachioji-shi, 192-0397, Japan; Tokyo Metropolitan University, Tokyo, Japan; Electrical Engineering Department, Syiah Kuala University, Banda Aceh, Indonesia; IEEE, Japan; TMU; Graduate School of Engineering, Tokyo Metropolitan University, Japan; Tokyo Metropolitan University, Japan; ITE (Institute of Image Information and Television Engineers); Signal Processing Committee, IEICE; Media Engineering Committee, ITE (Institute of Image Information and Television Engineers); ITE; IIEEJ (Institute of Image Electronics Engineers of Japan), Japan

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