中圖分類號(hào)： TN911.73；TP317.4 文獻(xiàn)標(biāo)識(shí)碼： A DOI：10.16157/j.issn.0258-7998.200398 中文引用格式： 于亦飛，李煊，賀榆珊，等. 基于對(duì)比實(shí)驗(yàn)的水下圖像質(zhì)量提升方法研究[J].電子技術(shù)應(yīng)用，2021，47(6)：82-86，91. 英文引用格式： Yu Yifei，Li Xuan，He Yushan，et al. Research on underwater image quality improvement methods based on comparative experiments[J]. Application of Electronic Technique，2021，47(6)：82-86，91.
Research on underwater image quality improvement methods based on comparative experiments
School of Quality and Safety Engineering，China Jiliang University，Hangzhou 310018，China
Abstract： Under the influence of dispersive refraction and absorption of light caused by water medium, variation of illumination condition, and imaging distance, there are always some problems such as low contrast and serious blur devaluing the underwater image. Aiming at above problems, based on some researches which improving image quality, this paper chooses three different of underwater image datasets as targets and nine image quality improvement methods (which contains image enhancement and image restoration methods) to carry out the underwater comparative experiments, while analyzing the experimental results from six separate aspects such as time-consuming, peak signal to noise ratio, structural similarity measure, average gradient, entropy, and standard deviation. Experimental results shows that Histogram Equalization and Guided Filter performed the best according to the processed images, and achieved relatively satisfactory data results on the whole, which was believed to laid a basic foundation for further study.
Key words : underwater image processing；image quality；histogram equalization；guided filter
