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Hi-speed computational method for removing sea-fog on the images using graphic processors and parallel processing

机译:使用图形处理器和并行处理消除图像上海雾的高速计算方法

摘要

The present invention relates to a fog removal acceleration method based on parallel computation using a graphic processor. The fog removal acceleration method is used to remove fog from input images in a system including a device with parallel processing capabilities and a host processor. The fog removal acceleration method includes the following steps: (a) extracting dark channels from the input images; (b) setting the values of pixels having a brightness within a predetermined range with respect to the brightest spot in the extracted dark channels as atmospheric scattered light; (c) normalizing the images by dividing the values of individual color values of the input images by the atmospheric scattered light values and extracting dark channels from the normalized images again; (d) obtaining the transmission amount by subtracting the values of the re-extracted dark channels from predetermined constant values while multiplying a predetermined weight value to the transmission amount in the subtraction operation; (e) applying a bi-directional filter to refine the transmission amount; and (f) removing fog by using the refined transmission amount to restore the input images. The steps (a), (d), and (f) are executed by the host processor while the step (e) is executed by the graphic processor. The processes of refining the transmission amount in the computations for fog removal can be processed in a parallel manner through the graphic processor, thereby enabling quicker computation.
机译:本发明涉及基于使用图形处理器的并行计算的除雾加速方法。除雾加速方法用于在包括具有并行处理能力的设备和主处理器的系统中从输入图像中去除雾。除雾加速方法包括以下步骤:(a)从输入图像中提取暗通道; (b)将相对于所提取的暗通道中的最亮点在预定范围内的亮度的像素的值设置为大气散射光; (c)通过将输入图像的各个颜色值除以大气散射光值来对图像进行归一化,并再次从归一化的图像中提取暗通道; (d)在减法运算中,将规定的权重值乘以透过量,并从规定的常数值中减去再提取的暗通道的值,求出透过量。 (e)应用双向滤波器以改善透射量; (f)通过使用精炼的透射量消除雾,以恢复输入图像。步骤(a),(d)和(f)由主处理器执行,而步骤(e)由图形处理器执行。可以通过图形处理器以并行方式处理在用于除雾的计算中细化透射量的处理,从而能够进行更快的计算。

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