![]() ![]() Due to the color-balanced image having the same features as the hazy image, this work, to improve the hazy image, uses dehazing methods such as the dark channel prior (DCP) method. Therefore, if using the eigenvalue of each color channel, the degraded image can be improved naturally and balanced. The degraded image and the undegraded image have different eigenvalues on each color channel. The eigenvalue reflects the image’s features. Thus, to balance the degraded color channel, this paper proposes the color balance method using each color channel’s eigenvalue. Therefore, to enhance the sandstorm image naturally without a color cast, the color channel compensation step is needed. When the sand dust image is enhanced without color channel compensation, the improved image also has a new color cast. However, a sand dust image has a yellowish or reddish color cast due to sand particles, which cause the color channels to degrade. In general, a hazy image has no color cast and has a balanced color channel with fog and dust. However, the difference between a sand dust image and a hazy image is the color channel balance. In the experiment results, the proposed method was superior to state-of-the-art methods both subjectively and objectively.Ī sandstorm image has features similar to those of a hazy image with regard to the obtaining process. According to this point, this study proposes to adjustable DCP (ADCP). However, the existing DCP method has a halo effect similar to an over-enhanced image due to a dark channel and a patch image. In general, the dark channel prior (DCP) is frequently applied in the dehazing step. Because the color balanced image has a similar feature to the haze image, a dehazing step is needed to improve the balanced image. Therefore, if using the channel’s singular value, the color channels can be balanced. In a low-contrast image, the singular value is low and vice versa. A duststorm image has a distorted color channel and it has a different singular value on each color channel. The singular value shows the image’s diversity features such as contrast. The first is a color balance step using singular value decomposition (SVD). This study goes through two steps to improve a duststorm image. Therefore, a color balance step is needed to enhance a duststorm image naturally. As a result, a duststorm image has a degraded color channel, which is rare in certain channels. Though a duststorm image and a hazy image are obtained using the same process, a hazy image has no color distortion as it has not been disturbed by particles, but a duststorm image has color distortion owing to an imbalance in the color channel, which is disturbed by sand particles. A duststorm image has a reddish or yellowish color cast. ![]()
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