Abstract
The principle of this paper is to clear the rain streaks form a color image using the image processing technique by constructing a supreme algorithm. The algorithm used will clear the defects in an image caused by rain. The image captured during rain can be classified into two parts: rain and de-rain. The image captured during rain can be further segmented into (1) low frequency part, i.e., the image with no rain and snow streaks and (2) high frequency part which also contains some or more details of the image. The defects caused by rain can be cleared using a technique named L0 gradient minimization technique. The major role of this technique is to smoothen the rain streaks in a rainy image by removing the rain pixels. Snow and rain are the two major barrier in processing the captured image which is captured in a bad weather condition. This technique can control the number of non-zero gradient that is present in the image. The edges of the rain streaks are conserved, and unimportant details are diminished. To get the improved contrast image, a technique named histogram adjustment technique is used.
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Kodieswari, A., Parameshwari, V., Sruthi, S. (2021). Reduction of Rain and Snow Within the Image Using Image Processing. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_7
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