In the midst of rapid advancements in information technology, digital document images play a pivotal role in daily life and judiciary systems. Ensuring the integrity of these images is critical, as they often contain sensitive and authoritative information. Traditional tampering localization techniques struggle to address increasingly sophisticated manipulation methods. To overcome this limitation, this paper proposes a channel-shuffled integration framework for digital image document forensics, which synergizes halftone texture anomalies, DCT frequency artifacts, and RGB spatial consistency to detect tampering. A denoising-residual module first extracts halftone noise artifacts to capture printing-specific textures. These features are fused through Atrous Spatial Pyramid Pooling (ASPP) with DCT spectral patterns and RGB spatial features, while channel shuffling dynamically enhances cross-domain feature representation. Experimental results show that the proposed method significantly improves the performance of tampering localization, which is better than that of state-of-the-art methods.