imageenhancementdeeplearning

由 C Ghandour 著作 · 2023 · 被引用 4 次 — Medical image fusion attempts to improve the application of medical images, extract more valuable information from input image, and aid doctors ...

2023年5月29日 — Image enhancement improves an image's visual quality by adjusting its features like brightness, contrast, sharpness, color, etc.

Low-Light Image Enhancement is a computer vision task that involves improving the quality of images captured under low-light conditions.

A standard way to increase image resolution without deep learning is to use bicubic interpolation. Upscale the low-resolution image using bicubic interpolation ...

由 H Tang 著作 · 2023 · 被引用 6 次 — From 2017 to 2022, hundreds of low-illumination image enhancement algorithms based on deep learning have been proposed. This fully reflects that the methods ...

由 Y Song 著作 · 2021 · 被引用 32 次 — Image enhancement is a subjective process whose tar- gets vary with user preferences. In this paper, we propose a deep learning-based image enhancement ...

Our method is a deep learning multi-task framework for white-balance editing. autoencoder image-manipulation deeplearning color-manipulation computational- ...

由 P Zhang 著作 · 被引用 3 次 — Therefore, this paper proposes an image enhancement network based on deep learning, which can directly convert the original image into a color image. Compared ...

2022年8月16日 — Image Super Resolution can be defined as increasing the size of small images while keeping the drop-in quality to a minimum or restoring High ...

When enhancing low-light images, many deep learning algorithms are based on the Retinex theory. 5. Paper