Open Access

ARTICLE

Semi-Fragile Image Watermarking Using Quantization-Based DCT for Tamper Localization

Agit Amrullah, Ferda Ernawan^*

Department of Multimedia Software, Faculty of Computing, Universiti Malaysia Pahang Al-Sultan Abdullah, Pekan, 26600, Malaysia

* Corresponding Author: Ferda Ernawan. Email:

Computers, Materials & Continua 2026, 86(2), 1-16. https://doi.org/10.32604/cmc.2025.069229

Received 18 June 2025; Accepted 14 October 2025; Issue published 09 December 2025

Abstract

This paper proposes a tamper detection technique for semi-fragile watermarking using Quantization-based Discrete Cosine Transform (DCT) for tamper localization. In this study, the proposed embedding strategy is investigated by experimental tests over the diagonal order of the DCT coefficients. The cover image is divided into non-overlapping blocks of size 8 × 8 pixels. The DCT is applied to each block, and the coefficients are arranged using a zig-zag pattern within the block. In this study, the low-frequency coefficients are selected to examine the impact of the imperceptibility score and tamper detection accuracy. High accuracy of tamper detection can be achieved by checking the surrounding blocks to determine whether the corresponding block has been tampered with. The proposed tamper detection is tested under various malicious, incidental, and hybrid attacks (both incidental and malicious attacks). The experimental results demonstrate that the proposed technique achieves a Peak-Signal-to-Noise Ratio (PSNR) value of 41.2318 dB, an average Structural Similarity Index Measure (SSIM) value of 0.9768. The proposed scheme is also evaluated against malicious attacks such as copy-move, object deletion, object manipulation, and collage attacks. The proposed scheme can detect the malicious attack localization under various tampering rates. In addition, the proposed scheme can still detect tampered pixels under a hybrid attack, such as a combination of malicious and incidental attacks, with an average accuracy of 96.44%.

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Keywords

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