2020年8月15日 · 提出Zero-DCE，一种无需配对或非配对数据的低光照图像增强方法，通过自适应曲线映射和non-reference损失函数实现高质量增强。 CVPR2020(Enhancement)：论文解读《Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement》

Download the Zero-DCE_code first. The following shows the basic folder structure. │ ├── test_data # testing data. You can make a new folder for your testing data, like LIME, MEF, and NPE. cd Zero-DCE_code. The script will process the images in the sub-folders of "test_data" folder and make a new folder "result" in the "data".

Our method trains a lightweight deep network, DCE-Net, to estimate pixel-wise and high-order curves for dynamic range adjustment of a given image. The curve estimation is specially designed, considering pixel value range, monotonicity, and differentiability.

2021年12月24日 · Dynamic contrast-enhanced (DCE) imaging is a non-invasive technique used for the evaluation of tissue vascularity features through imaging series acquisition after contrast medium administration.

The paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network. Our method trains a lightweight deep network, DCE-Net, to estimate pixel-wise and high-order curves for dynamic range adjustment of a given image.

Zero-Reference Deep Curve Estimation or Zero-DCE formulates low-light image enhancement as the task of estimating an image-specific tonal curve with a...

•We propose DCE-diff, an image-to-image diffusion model for generating early- and late- DCE-MRI im-ages from multimodal non-contrast MRI images, namely T2-W, PD, ADC, and T1-pre-contrast. •Our approach demonstrates the importance of using ADC images in the DCE MRI image synthesis process, by utilizing the perfusion information provided by the

This is the implementation of Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement, and the effect of this paper has reached the SOTA at that time.

2021年9月18日 · Zero-Reference Deep Curve Estimation or Zero-DCE formulates low-light image enhancement as the task of estimating an image-specific tonal curve with a deep neural network. In this example, we train a lightweight deep network, DCE-Net, to estimate pixel-wise and high-order tonal curves for dynamic range adjustment of a given image.

2019年4月15日 · DCE exploits the relaxivity effect of Gadolinium-based contrast agent on the signal echo, acquiring serial T1-weighted images before, during and after its administration [1, 19,20,21]. Perfusion MR imaging is useful in differentiating highly vascularized recurrent tumor, characterized by an increase of perfusion parameters, from avascular ...