Oct 12, 2020 · Single image de-noising is an important yet under-explored task to estimate the underlying clean image from its noisy observation.
Solid and comprehensive experiments on three tasks demonstrate that the proposed SMNet can significantly achieve better performance compared with ...
Single image de-noising is an important yet under-explored task toestimate the underlying clean image from its noisy observation.
Oct 12, 2020 · ABSTRACT. Single image de-noising is an important yet under-explored task to estimate the underlying clean image from its noisy observation.
Aug 30, 2023 · The applications of neural associative memories in image retrieval are studied based on a class of reduced Cohen-Grossberg neural networks and ...
The results demonstrate that our model achieves state-of-the-art performances on both synthetic and real noisy images with a relatively small computational ...
Jan 28, 2020 · In this paper, we propose a novel spatial-adaptive denoising network (SADNet) for efficient single image blind noise removal. To adapt to ...
Missing: Staged Memory
The proposed IDEA-Net demon- strated the outperformance on four benchmark datasets compared with other single-image-based learning and non- learning image ...
Apr 25, 2024 · This architecture tackles both Gaussian and real-world image noise with exceptional efficacy. Initiated through dense blocks (DB) tasked with ...
Missing: Memory | Show results with:Memory
Oct 31, 2022 · This paper proposes Multi-Scale Adaptive Network (MSANet) for single image denoising with three blocks: Adaptive Feature Block (AFeB), Adaptive ...