Advanced Image Processing Techniques -- 专题文献

专题：Advanced Image Processing Techniques

This cluster of papers focuses on the development and application of single image super-resolution techniques, utilizing deep learning methods such as convolutional networks, generative adversarial networks, and sparse representation. The cluster also covers related topics such as deblurring, video enhancement, and applications in medical imaging.

专题：Advanced Image Processing Techniques

最新文献

Reverse Convolution and its Applications to Image Restoration

Emulating Self-attention with Convolution for Efficient Image Super-Resolution

Gt-Mean Loss: a Simple Yet Effective Solution for Brightness Mismatch in Low-Light Image Enhancement

Generalized and Efficient 2D Gaussian Splatting for Arbitrary-Scale Super-Resolution

Band-kernel Stochastic Learning for Unsupervised Blind Hyperspectral Image Super-Resolution

Fusing physical priors and visual mamba: An SNR-Aware framework for low-Light enhancement in HVI space

LYA-YOLO: a lightweight and accurate YOLO model in drone aerial image scenes

Material proportion guided hyperspectral image super-resolution via unmixing

An attack-resilient Unet watermarking framework for copyright protection via adaptive weighting and resolution recovery

ClearAIR: A Human-Visual-Perception-Inspired All-in-One Image Restoration

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