Photographic Appearance Enhancement via Detail-Based Dictionary Learning
Zhi-Feng Xie;Shi Tang;Dong-Jin Huang;You-Dong Ding;Li-Zhuang Ma
【期刊名称】《计算机科学技术学报（英文版）》 【年(卷),期】2017(032)003
【摘要】A number of edge-aware filters can efficiently boost the appearance of an image by detail decomposition and enhancement. However, they often fail to produce photographic enhanced appearance due to some visible artifacts, especially noise, halos and unnatural contrast. The essential reason is that the guidance and the constraint of high-quality appearance are not sufficient enough in the process of enhancement. Thus our idea is to train a detail dictionary from a lot of high-quality patches in order to constrain and control the entire appearance enhancement. In this paper, we propose a novel learning-based enhancement method for photographic appearance, which includes two main stages: dictionary training and sparse reconstruction. In the training stage, we construct a training set of detail patches extracted from some high-quality photos, and then train an overcomplete detail dictionary by iteratively minimizing an?1-norm energy function. In the reconstruction stage, we employ the trained dictionary to reconstruct the boosted detail layer, and further formalize a gradient-guided optimization function to improve the local coherence
between patches. Moreover, we propose two evaluation metrics to measure the performance of appearance enhancement. The final experimental results have demonstrated the effectiveness of our learning-based enhancement method. 【总页数】13页(417-429) 【关键词】
【作者】Zhi-Feng Xie;Shi Tang;Dong-Jin Huang;You-Dong Ding;Li-Zhuang Ma
【作者单位】Department of Film and Television Engineering, Shanghai University, Shanghai 200072, China;Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai 200072, China;Department of Film and Television Engineering, Shanghai University, Shanghai 200072, China;Department of Film and Television Engineering, Shanghai University, Shanghai 200072, China;Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai 200072, China;Department of Film and Television Engineering, Shanghai University, Shanghai 200072, China;Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai 200072, China;Shanghai Engineering Research Center of Motion Picture Special Effects, Shanghai 200072, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China 【正文语种】英文
【中图分类】 【文献来源】
https://www.zhangqiaokeyan.com/academic-journal-cn_journal-computer-science-technology_thesis/0201241192599.html 【相关文献】
1.Enhancing the Linearity Characteristics of Photoelectric Displacement Sensor Based on Extreme Learning Machine Method [J], Murugan SETHURAMALINGAM; Umayal SUBBIAH
2.Effectiveness of Computer Assisted Problem based Learning in Chemistry for Enhancing Thinking Skills among Secondary School Students [J], Rajeswari K
3.Project-based Learning （PBL） for Enhancing Chinese College Students＇ English Performance [J], Yujie; Wang; Hongbo; Song 4.Enhancing the Linearity Characteristics of Photoelectric Displacement Sensor Based on Extreme Learning Machine Method [J], Murugan SETHURAMALINGAM; Umayal SUBBIAH
5.Enhanced Moth-flame Optimization Based on Cultural Learning and Gaussian Mutation [J], Liwu Xu; Yuanzheng Li; Kaicheng Li; Gooi Hoay Beng; Zhiqiang Jiang; Chao Wang; Nian Liu
以上内容为文献基本信息，获取文献全文请下载
Photographic Appearance Enhancement via Detail-Based Dictionary Learning
