CAJ | 학술논문

大气中微小颗粒(如雾、霾等)的散射作用会使户外场景拍摄的图像发生退化，造成图像质量下降。图像去雾可以提升图像对比度，增加场景能见度，校正颜色失真，改善视觉效果。但是图像去雾经常会出现明显的噪声放大现象，尤其是无穷远处的天空区域最为严重。针对这一问题，提出了一种去雾过程中的噪声抑制方法。以传输率图像为指导，采用滤波半径变化的双边滤波对雾天图像进行模糊。再计算新的传输率图像，代入雾天成像模型，得到去噪后复原图像。结合噪声评价方法，实验结果验证了该方法的噪声抑制效果。
대기중미소과립(여무、매등)적산사작용회사호외장경박섭적도상발생퇴화，조성도상질량하강。도상거무가이제승도상대비도，증가장경능견도，교정안색실진，개선시각효과。단시도상거무경상회출현명현적조성방대현상，우기시무궁원처적천공구역최위엄중。침대저일문제，제출료일충거무과정중적조성억제방법。이전수솔도상위지도，채용려파반경변화적쌍변려파대무천도상진행모호。재계산신적전수솔도상，대입무천성상모형，득도거조후복원도상。결합조성평개방법，실험결과험증료해방법적조성억제효과。
The scattering of particles (e.g. haze particles and fog droplets) in the atmosphere degrades images of outdoor scenes and further harms image quality. Image dehazing can significantly gain contrast, increase scene visibility, correct color shift introduced by the airlight and improve visual effect. Nonetheless, image dehazing is prone to noise amplification. Noise of the dehazed image is obvious in regions with low transmission, especially for distant sky region. A noise inhibition method during image dehazing was proposed to solve this problem. The hazy image was smoothed by the bilateral filter with varying radius which was adapted to the transmission map. The new transmission map was calculated again corresponding to the smoothed hazy image, and then used to estimate the denoised recovery image. Combining the noise estimation method for single color image, experimental results demonstrate our method′s performance with noise inhibition.