TL;DR
Experimental results on the MAI dataset demonstrate that DFEM-ISP attains a 0.79 dB PSNR enhancement, coupled with markedly improved high-frequency details and color consistency, thereby confirming the efficacy of FFT-driven frequency enhancement for RAW-to-sRGB reconstruction.
Low-light image enhancement is challenging due to noise and poor visibility. While diffusion models have shown remarkable generative capabilities, applying them directly to this task in the pixel domain remains problematic. They tend to struggle with the trade-off between global illumination correction and local detail...
A multi-scale detailed information exploration network is proposed that outperforms other state-of-the-art image enhancement approaches in both visual effects and evaluation metrics.
High-quality image reconstruction at low sampling rates remains a key challenge in Fourier single-pixel imaging (FSPI). To address the issue of image blur caused by the lack of high-frequency components in FSPI images under low sampling rates, a Frequency Constraint and Wavelet decomposition Diffusion Model (FC-WDM) me...
Reverse time migration (RTM) images are jointly constrained by limited acquisition aperture, band-limited source wavelets, and errors in the background velocity model. These factors often cause spatially varying resolution loss, uneven illumination, and amplitude distortion. These problems are more obvious in deep stru...
Single-image reflection separation aims to recover transmission and reflection layers from an image captured through glass and is an important problem in computational photography and low-level vision. Recent dual-stream interactive methods have achieved substantial progress, but most of them still rely mainly on linea...
Underwater image enhancement (UIE) is still difficult. This is mainly due to wavelength-dependent light absorption, scattering, and environmental noise, which lead to low visibility, color distortion, and loss of fine details. Most existing deep learning (DL) based models primarily operate on spatial-domain convolu...
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