An Image Fogging Software Based on Depth Estimation Model
With the deepening of deep learning research,the importance of data has risen to a new height.In the hot field of image defogging,the performance of the defogging model largely depends on the quality of the image data-set on foggy days.However,the existing data sets are difficult to meet the needs of scientific research,and the cost of making such data sets is high.Therefore,it is particularly important to synthesize real foggy images using fog-free im-ages.Based on the atmospheric scattering model,the method of monocular image depth estimation is introduced to re-alize the fogging process of fogless images.Meanwhile,the robustness of the depth estimation method is compared,and the depth estimation method suitable for image fogging is recommended.Finally,the image fogging software with sim-ple operation is realized.
Atmospheric scattering modelMonocular image depth estimationGenerate fog imageImage fogging software
NETL
NSTL
万方数据
维普
