Weak light image enhancement method based on multi-branch progressive deep network
The invention discloses a multi-branch progressive weak light image enhancement method. The method comprises the following steps: step 1, preparing data; step 2, building a multi-branch progressive enhancement model; 3, training the data prepared in the step 1 according to the structure built in the...
Saved in:
Main Authors | , , , , , |
---|---|
Format | Patent |
Language | Chinese English |
Published |
18.07.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | The invention discloses a multi-branch progressive weak light image enhancement method. The method comprises the following steps: step 1, preparing data; step 2, building a multi-branch progressive enhancement model; 3, training the data prepared in the step 1 according to the structure built in the step 2 to obtain a trained multi-branch progressive enhancement model; and 4, performing data testing based on the trained multi-branch progressive enhancement model obtained in the step 3. According to the method, the problem of low-light image degradation is solved through the multi-branch enhancement networks with different scales.
本发明公开了一种基于多分支渐进式的弱光图像增强方法,包括如下步骤:步骤1,准备数据;步骤2,搭建多分支渐进式增强模型;步骤3,根据步骤2搭建的结构对步骤1准备的数据进行训练,得到训练好的多分支渐进式增强模型;步骤4,基于步骤3得到的训练好的多分支渐进式增强模型进行数据测试。本发明通过不同尺度的多分支增强网络克服了弱光图像退化问题。 |
---|---|
Bibliography: | Application Number: CN202310210922 |