Research of Snow-Degraded Image Clearness Methods

Kai Song; Dong Yang; Xin Nie

doi:10.4028/www.scientific.net/AMM.423-426.2452

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 423-426Research of Snow-Degraded Image Clearness Methods

Research of Snow-Degraded Image Clearness Methods

Abstract:

An improvement of coterminous frames differencing is proposed. By using the improved algorithm, the snow point from video image obtained in the snow day can be removed significantly. The snow regions are extracted by the temporal difference of pixels from the five adjacent frames in video images, The absolute value of differential luminance of each frame is then obtained. The luminous intensity of the background and effects by snow can be further computed. Finally, the intensity of the contaminated pixels is replaced by the average value of future and past frames. The results of the experiment show that this algorithm can improve the quality of video images in light snow, heavy snow even heavy snowstorm strongly.

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Periodical:

Applied Mechanics and Materials (Volumes 423-426)

Pages:

2452-2455

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.423-426.2452

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Online since:

September 2013

Authors:

Kai Song*, Dong Yang, Xin Nie

Keywords:

Coterminous Frame Differencing, Differential Luminance of Pixels, Digital Image Processing, Removal of Snow

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