Single frame image rain removal method based on multi-scale feature fusion
A multi-scale feature, frame image technology, applied in the field of image processing, can solve problems such as inability to describe or detect rain, missing rain detection, and residual rain components.
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[0057] Step 1: Establish a database for training the entire deraining model.
[0058] The database includes two parts: training set and test set. The training set contains rainy images and their corresponding non-rainy images. In this embodiment, the training set includes 700 pictures, 500 of which are selected from the first 800 pictures in the UCID image database, and the remaining 200 are from the training set in the BSD-500 database. Among them, the rainy image is synthesized by artificially adding rain lines, and the shape, intensity and direction of the rain lines are diverse to ensure the generalization ability. The test set is divided into two categories: the synthetic picture test set and the natural picture test set; the synthetic picture test set contains the original image without rain, so the peak signal-to-noise ratio (PSNR) on the luminance channel (luminance channel) can be calculated at last Equal quantitative indicators to evaluate the image quality (the br...
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