中圖分類號： TP183 文獻(xiàn)標(biāo)識碼： A DOI：10.16157/j.issn.0258-7998.200400 中文引用格式： 李蔚,，安鶴男，劉佳,，等. 基于深度密集連接控制網(wǎng)絡(luò)的單幅圖像去雨[J].電子技術(shù)應(yīng)用,，2020，46(12)：48-52. 英文引用格式： Li Wei,，An Henan,，Liu Jia，et al. Deep controlled dense connection network for single image deraining[J]. Applica- tion of Electronic Technique,，2020,，46(12)：48-52.
Deep controlled dense connection network for single image deraining
Li Wei，An Henan，Liu Jia,，Tu Zhiwei,，Zhang Changlin
College of Electronics and Information Engineering，Shenzhen University,，Shenzhen 518061,，China
Abstract： Image quality degradation caused by rain streaks seriously affects the effective application of image and computer vision algorithm, so image deraining is very necessary. At present, mainstream deraining methods based on deep learning are only effective for single size rain streaks, and there are problems such as incomplete rain streaks removal and fuzzy background. Aiming at these difficulties, a single image deraining algorithm based on deep controlled dense connection network is presented. Through the introduction of multi-scale block, the ability to extract rain streaks of different sizes was enhanced. And attention mechanism module was injected to pay more attention to raining areas. What is more, controlled dense connection block was also introduced to fully represent the rain streaks characteristics. Experiments show that the proposed method outperforms some mainstream methods both on the synthetic dataset and the real dataset.
Key words : single image deraining；deep learning,；convolution neural network,；dense connection
