CAJ | 학술논문

图像去雾技术是对有雾图像进行清晰化处理的一门技术，该技术的任务是去除环境因素对图像质量的影响，从而增强图像的视见度。文章首先对雾霾图像的性质与分类研究进行了论述，并进一步综述了图像去雾技术的国内外研究现状，对直方图均衡化算法，Retinex算法和先验暗通道算法等典型的去雾方法的效果进行评价。总结了各类算法的性能，分析他们各自的优势和不足。最后指出了图像去雾技术的发展趋势和未来展望。
도상거무기술시대유무도상진행청석화처리적일문기술，해기술적임무시거제배경인소대도상질량적영향，종이증강도상적시견도。문장수선대무매도상적성질여분류연구진행료논술，병진일보종술료도상거무기술적국내외연구현상，대직방도균형화산법，Retinex산법화선험암통도산법등전형적거무방법적효과진행평개。총결료각류산법적성능，분석타문각자적우세화불족。최후지출료도상거무기술적발전추세화미래전망。
Image dehazing is a technique for the foggy image sharpening processing. The task is to remove the effect of environmental factors on image quality, so as to enhance the image visibility. Firstly, the study and classifi-cation of haze image properties are discussed, and further the research status of image dehazing technology are sum-marized, such as typical method of histogram equalization algorithm, Retinex algorithm and evaluate dark channel prior algorithm, the performance of these various algorithms and there respective advantages and disadvantages. The development trend of image dehazing and future prospects finally put forward in the paper.