An image rain removing method and system based on a static rain pattern
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An image and static technology, applied in the field of image processing, can solve problems such as long calculation time, increased algorithm complexity, and low real-time performance, and achieve the effects of improving detection capabilities, building fast processing speeds, and simplifying calculations
Inactive Publication Date: 2018-12-18
SOUTH CHINA NORMAL UNIVERSITY
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However, this method needs to continuously introduce new target features to increase the discrimination of dictionary classi
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Embodiment 1
[0039] see figure 1 , which is a flowchart of a method for removing rain from an image based on static rain streaks in Embodiment 1 of the present invention. The image deraining method based on static rain streaks comprises the following steps:
[0040] Step S1: Construct an image training database; wherein, the image training database includes multiple pairs of rain-pure rain pattern image pairs.
[0041] see figure 2 , which is a flow chart of constructing an image training database in Embodiment 1 of the present invention.
[0042] Described construction image training database comprises the steps:
[0043] Step S11: Obtain multiple no-rain images and multiple pure rain pattern images;
[0044] Step S12: through the linear static rain pattern superposition model, add the pure rain pattern image to the rain-free image to obtain the corresponding linear rain image;
[0045] Step S13: through the non-linear static rain pattern mixture model, add the pure rain pattern ima...
Embodiment 2
[0088] The present invention also provides an image deraining system based on static rain streaks, including a processor, adapted to implement various instructions; and a storage device, adapted to store a plurality of instructions, and the instructions are adapted to be loaded and executed by the processor :
[0089] Build an image training database; wherein, the image training database includes many pairs of rain-pure rain pattern image pairs;
[0090] According to the rain-pure rain streak image pair in the image training database, a static rain streak detection network structure is constructed;
[0091] Filtering the image to be rained to obtain high-frequency information and low-frequency information of the image to be rained;
[0092] Input the high frequency information of the image to be rained into the static rain pattern detection network structure to obtain the high frequency information of the rain pattern;
[0093] Subtract the high frequency information of the ...
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Abstract
The invention relates to an image rain removing method and system based on a static rain pattern, comprising the following steps of: constructing an image training database; according to the rain-purerain pattern in the image training database, constructing the static rain pattern detection network structure; filtering the image for rain removal to obtain high-frequency information and low-frequency information of the image to be rained; inputting the high frequency information of the image for rain removel into the static rain pattern detection network structure to obtain the high frequencyinformation of the rain pattern; Subtracting the high-frequency information of the rain pattern from the high-frequency information of the rainless image to obtain the high-frequency information of the rainless image; adding the high-frequency information of the rain-free image and the low-frequency information of the image for rain removal to obtain the rain-free image. The invention improves the detection capability of the static rain ripple detection network structure by removing the low-frequency information and other interference network function items. While retaining the main rainpattern feature information, it reduces the static rainpattern detection network parameters and computational load, simplifies the operation, constructs the processing speed is fast, and improves the generalization ability of the depth network model in real-time.
Description
technical field [0001] The invention relates to the field of image processing, in particular to an image deraining method and system based on static rain streaks. Background technique [0002] With the rapid development of modern information technology, people hope to obtain clearer images, and for this purpose, it is usually necessary to remove the rain streaks in the image. [0003] The traditional image deraining method based on static rain pattern mainly adopts the method based on sparse dictionary learning. The core of this method is to learn a target rain pattern sparse dictionary from the synthesized rain pattern library, and use the target rain pattern sparse dictionary to Differentiate between rain streaks and background images. However, this method needs to continuously introduce new target features to increase the discrimination of dictionary classification, which increases the complexity of the algorithm, takes a long time to calculate, and has low real-time per...
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