Papers › IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature...

IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model

16 May 2024arXiv:2405.09873archive 2025-07-28

Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu, Shinichiro Omachi

Infrared image super-resolution demands long-range dependency modeling and multi-scale feature extraction to address challenges such as homogeneous backgrounds, weak edges, and sparse textures. While Mamba-based state-space models (SSMs) excel in global dependency modeling with linear complexity, their block-wise processing disrupts spatial consistency, limiting their effectiveness for IR image reconstruction. We propose IRSRMamba, a novel framework integrating wavelet transform feature modulation for multi-scale adaptation and an SSMs-based semantic consistency loss to restore fragmented contextual information. This design enhances global-local feature fusion, structural coherence, and fine-detail preservation while mitigating block-induced artifacts. Experiments on benchmark datasets demonstrate that IRSRMamba outperforms state-of-the-art methods in PSNR, SSIM, and perceptual quality. This work establishes Mamba-based architectures as a promising direction for high-fidelity IR image enhancement. Code are available at https://github.com/yongsongH/IRSRMamba.

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window_partition yongsongh/irsrmamba/analysis/model_zoo/swinIR.py official repository ran · fixture could not drive it fingerprinted Apache-2.0 (permissive) · 144d10b49baeb8a6 · report
CalculateWeightsIndices yongsongh/irsrmamba/bic_dataset.py official repository ran Apache-2.0 (permissive) · c646b10ea82818bc · report
cubic yongsongh/irsrmamba/bic_dataset.py official repository ran fingerprinted Apache-2.0 (permissive) · 6635958fcc485de3 · report
default_conv yongsongh/irsrmamba/analysis/model_zoo/rcan.py official repository ran · our draft was wrong Apache-2.0 (permissive) · 8b0e794d4d8f9b13 · report
drop_path yongsongh/irsrmamba/analysis/model_zoo/hat.py official repository ran · fixture could not drive it Apache-2.0 (permissive) · 52d96aa31ed74a56 · report
dwt_init yongsongh/irsrmamba/basicsr/archs/irsrmamba_arch.py official repository ran fingerprinted Apache-2.0 (permissive) · c21c44ba4d3c7c73 · report
get_position_from_periods yongsongh/irsrmamba/basicsr/models/lr_scheduler.py official repository ran fingerprinted Apache-2.0 (permissive) · cd569444547de84f · report
window_partition yongsongh/irsrmamba/analysis/model_zoo/hat.py official repository ran · fixture could not drive it fingerprinted Apache-2.0 (permissive) · 60363d0620f5778d · report
window_reverse yongsongh/irsrmamba/analysis/model_zoo/swinIR.py official repository ran · our draft was wrong Apache-2.0 (permissive) · 61bf152e6a42a184 · report
window_reverse yongsongh/irsrmamba/analysis/model_zoo/hat.py official repository ran · our draft was wrong Apache-2.0 (permissive) · 4f003e9ad9b7a7cb · report
ImResizeNp yongsongh/irsrmamba/bic_dataset.py official repository unverified Apache-2.0 (permissive) · 021a5272d87479c2 · report
make_model yongsongh/irsrmamba/analysis/model_zoo/rcan.py official repository unverified Apache-2.0 (permissive) · 9bd135002fbc6534 · report
reduce_loss yongsongh/irsrmamba/basicsr/losses/loss_util.py official repository unverified Apache-2.0 (permissive) · a648a03a952822c0 · report
weight_reduce_loss yongsongh/irsrmamba/basicsr/losses/loss_util.py official repository unverified Apache-2.0 (permissive) · 1ba39317ea81871a · report
weighted_loss yongsongh/irsrmamba/basicsr/losses/loss_util.py official repository unverified Apache-2.0 (permissive) · cf63f8afc13f62a7 · report

Tasks

Image EnhancementImage ReconstructionImage Super-ResolutionInfrared image super-resolutionMambaSSIMState Space ModelsSuper-Resolution

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