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AutomaticImageDeWeatheringUsingCurveletBasedanishi
- 用曲波变换点边缘检测实现自动恢复受天气影响的图像-Qu Bo transformation point with edge detection for automatic restoration of images affected by the adverse weather
1
- 本节主要介绍基于Retinex理论的雾霭天气图像增强及其实现。(The fog weather images enhancement and its realization based on Retinex theory described in this section include.)
darkchannel
- 复杂天气下对所获图像进行清晰化，采用暗通道法处理雾霾天气下的图像，获得清晰图像(Under the complicated weather clarity of the image using dark channel image processing of fog and haze, get a clear image)
IDark
- 对于雾霾天气下采集的图片，求解其暗通道数值，显示暗通道图像，为后期图像清晰化做准备(For the images collected in haze weather, we can solve the dark channel values, display dark channel images, and prepare for later image sharpening.)
zhifangtujunheng
- 对沙尘天气下获得图像进行直方图均衡化，为后期基于retinex算法处理沙尘天气下的图像打下基础(Histogram equalization is used to obtain images in sand and dust weather, which lays a foundation for later Retinex based image processing in sand and dust weather.)