Abstract
Spatial misregistration and cross-modal discrepancies often cause ghosting, structural blurring, and content imbalance in RGB-T fusion. Existing methods typically decouple appearance adaptation, geometric alignment, and information fusion, limiting dependency propagation across stages. We propose Source-Anchored Guidance via Frequency Equalization for Hierarchical RGB-T Alignment and Fusion (SAGE), a unified framework integrating frequency equalization, hierarchical alignment, and subband fusion. SAGE employs invertible joint encoding and source-specific low-frequency modulation to derive structural and gain guidance while preserving source information. Hierarchical frequency collaborative alignment estimates global affine geometry from low-frequency approximations and transfers geometric and contextual cues to high-frequency correlation reasoning for reliability-aware residual refinement. Guided subband fusion jointly aggregates the aligned frequency coefficients under propagated source and alignment guidance, coordinates complementary low- and high-frequency information, and reconstructs the fused image through the inverse wavelet transform. Extensive experiments on RGB-T datasets with real-world and synthetic misalignments demonstrate consistently competitive performance in alignment and fusion, validating the effectiveness of source-anchored guidance for weakly registered RGB-T images.
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Publication details
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- Open access
- Green open access
Cite this article
APA 7
Li, T., Sun, Y., Tao, B., Gao, X., Cao, H., & Zhu, P. (2026). SAGE: Source-Anchored Guidance via Frequency Equalization for Hierarchical RGB-T Alignment and Fusion. https://omanscience.com/en/articles/sage-source-anchored-guidance-via-frequency-equalization-for-hierarchical-rgb-t-alignment-and-fusion
MLA 9
Li, Timing, et al. "SAGE: Source-Anchored Guidance via Frequency Equalization for Hierarchical RGB-T Alignment and Fusion." https://omanscience.com/en/articles/sage-source-anchored-guidance-via-frequency-equalization-for-hierarchical-rgb-t-alignment-and-fusion.
Chicago (author–date)
Li, Timing, Yiming Sun, Boan Tao, Xiyuan Gao, Haifang Cao, and Pengfei Zhu. 2026. "SAGE: Source-Anchored Guidance via Frequency Equalization for Hierarchical RGB-T Alignment and Fusion." https://omanscience.com/en/articles/sage-source-anchored-guidance-via-frequency-equalization-for-hierarchical-rgb-t-alignment-and-fusion.
Harvard
Li, T., Sun, Y., Tao, B., Gao, X., Cao, H. and Zhu, P. (2026) 'SAGE: Source-Anchored Guidance via Frequency Equalization for Hierarchical RGB-T Alignment and Fusion', Available at: https://omanscience.com/en/articles/sage-source-anchored-guidance-via-frequency-equalization-for-hierarchical-rgb-t-alignment-and-fusion.
Vancouver
Li T, Sun Y, Tao B, Gao X, Cao H, Zhu P. SAGE: Source-Anchored Guidance via Frequency Equalization for Hierarchical RGB-T Alignment and Fusion. https://omanscience.com/en/articles/sage-source-anchored-guidance-via-frequency-equalization-for-hierarchical-rgb-t-alignment-and-fusion
IEEE
T. Li, Y. Sun, B. Tao, X. Gao, H. Cao, and P. Zhu, "SAGE: Source-Anchored Guidance via Frequency Equalization for Hierarchical RGB-T Alignment and Fusion," https://omanscience.com/en/articles/sage-source-anchored-guidance-via-frequency-equalization-for-hierarchical-rgb-t-alignment-and-fusion.