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Blur kernel estimation using blurry structure 模糊核估计使用模糊结构
International Conference on Information Photonics Pub Date : 2016-08-19 DOI: 10.1109/ICIP.2016.7532850
Shuai Fang, Yuanzhu Liu, Yang Cao
{"title":"Blur kernel estimation using blurry structure","authors":"Shuai Fang, Yuanzhu Liu, Yang Cao","doi":"10.1109/ICIP.2016.7532850","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532850","url":null,"abstract":"Motion deblurring has been a hot spot of research given its wider application range. It has been proven to be effective in several recent studies that utilize structure in the intermediate image to estimate a blur kernel. However, these methods ignore to extract blurry structure from input blurry image. This will cause imbalance in the objective function and introduce artifact errors into the deconvolution process. In this paper we will first exploit a mask determined by convolution of an intermediate image with a kernel to generate blurry structure, and then take it into data term instead of blurry image to overcome the problem. Moreover, we employ sparse prior of kernel and propose a novel L0 regularization for accurate kernel estimation. Experiments across datasets showed that our algorithm achieved the state-of-the-art motion deblurring results.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"2677 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125747511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PCA-based adaptive color decorrelation algorithm for HEVC 基于pca的HEVC自适应颜色去相关算法
International Conference on Information Photonics Pub Date : 2016-08-19 DOI: 10.1109/ICIP.2016.7533157
Mengmeng Zhang, Yuhui Guo, Bin Li, Jizheng Xu
{"title":"PCA-based adaptive color decorrelation algorithm for HEVC","authors":"Mengmeng Zhang, Yuhui Guo, Bin Li, Jizheng Xu","doi":"10.1109/ICIP.2016.7533157","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7533157","url":null,"abstract":"","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125363471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A secure watermarking technique without loss of robustness 一种不损失鲁棒性的安全水印技术
International Conference on Information Photonics Pub Date : 2016-08-19 DOI: 10.1109/ICIP.2016.7532854
Jian Cao, Haodong Li, Weiqi Luo, Jiwu Huang
{"title":"A secure watermarking technique without loss of robustness","authors":"Jian Cao, Haodong Li, Weiqi Luo, Jiwu Huang","doi":"10.1109/ICIP.2016.7532854","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532854","url":null,"abstract":"This paper proposes a novel watermarking technique called random direction embedding (RDE) watermarking. Unlike the conventional watermarking techniques, the watermark energy after the RDE embedding does not focus on a fixed direction, hence the proposed technique is secure against the traditional unauthorized watermark removal attack. The important merit of the RDE watermarking is that it achieves the security without loss of robustness. Compared with the existing secure watermarking techniques, such as natural watermarking (NW), the RDE watermarking achieves significant improvement in terms of robustness. On the other hand, it is also more robust than the spread spectrum watermarking techniques, which have been demonstrated to be very insecure.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125239280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Active contours driven by time-varying fitting energy 由时变拟合能量驱动的主动轮廓
International Conference on Information Photonics Pub Date : 2016-08-19 DOI: 10.1109/ICIP.2016.7533172
Xiaomeng Xin, Lingfeng Wang, Chunhong Pan
{"title":"Active contours driven by time-varying fitting energy","authors":"Xiaomeng Xin, Lingfeng Wang, Chunhong Pan","doi":"10.1109/ICIP.2016.7533172","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7533172","url":null,"abstract":"In this paper, we propose a novel region-based active contour model for images with intensity inhomogeneity. We define an energy functional with both local and global intensity fitting term. A time-varying function is introduced to balance the local and the global intensity term, which combines the advantages of these two terms naturally. Based on this time-varying function, the proposed model possesses both local separability and global consistency. Specifically, local separability helps to tackle the intensity inhomogeneous problem, while global consistency makes the segmentation result insensitive to the initialization. The proposed model is finally incorporated into a level set formulation. Experimental results on both synthetic and real images demonstrate the superior performance of our model.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134401860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Target retrieval in large-scale and high-resolution synthetic aperture radar imagery based on deep learning and multi-scale saliency 基于深度学习和多尺度显著性的大尺度高分辨率合成孔径雷达图像目标检索
International Conference on Information Photonics Pub Date : 2016-08-19 DOI: 10.1109/ICIP.2016.7532698
S. Tu, Junbo Liao, Yi Su
{"title":"Target retrieval in large-scale and high-resolution synthetic aperture radar imagery based on deep learning and multi-scale saliency","authors":"S. Tu, Junbo Liao, Yi Su","doi":"10.1109/ICIP.2016.7532698","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532698","url":null,"abstract":"","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125812685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Coarse-to-fine human parsing with Fast R-CNN and over-segment retrieval 粗到精的人类解析与快速R-CNN和过段检索
International Conference on Information Photonics Pub Date : 2016-08-19 DOI: 10.1109/ICIP.2016.7532696
Feng Wang, Zhi Li, Qingshan Liu
{"title":"Coarse-to-fine human parsing with Fast R-CNN and over-segment retrieval","authors":"Feng Wang, Zhi Li, Qingshan Liu","doi":"10.1109/ICIP.2016.7532696","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532696","url":null,"abstract":"","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133590242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Feature selection and patch-based segmentation in MRI for prostate radiotherapy 前列腺放射治疗MRI特征选择与斑块分割
International Conference on Information Photonics Pub Date : 2016-08-19 DOI: 10.1109/ICIP.2016.7532842
Maxime Guinin, S. Ruan, B. Dubray, L. Massoptier, I. Gardin
{"title":"Feature selection and patch-based segmentation in MRI for prostate radiotherapy","authors":"Maxime Guinin, S. Ruan, B. Dubray, L. Massoptier, I. Gardin","doi":"10.1109/ICIP.2016.7532842","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532842","url":null,"abstract":"","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116141775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Triple local feature based collaborative representation for face recognition with single sample per person 基于三局部特征的人脸识别协同表示
International Conference on Information Photonics Pub Date : 2016-08-19 DOI: 10.1109/ICIP.2016.7532957
Tiancheng Song, Xing Wang, Meng Yang, Shiqi Yu, L. Shen
{"title":"Triple local feature based collaborative representation for face recognition with single sample per person","authors":"Tiancheng Song, Xing Wang, Meng Yang, Shiqi Yu, L. Shen","doi":"10.1109/ICIP.2016.7532957","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532957","url":null,"abstract":"","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129891961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Learning zeroth class dictionary for human action recognition 学习用于人体动作识别的第0类字典
International Conference on Information Photonics Pub Date : 2016-03-13 DOI: 10.1109/ICIP.2016.7533146
Jia-xin Cai, Xin Tang, Lifang Zhang, G. Feng
{"title":"Learning zeroth class dictionary for human action recognition","authors":"Jia-xin Cai, Xin Tang, Lifang Zhang, G. Feng","doi":"10.1109/ICIP.2016.7533146","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7533146","url":null,"abstract":"In this paper, a discriminative two-phase dictionary learning framework is proposed for classifying human action by sparse shape representations, in which the first-phase dictionary is learned on the selected discriminative frames and the second-phase dictionary is built for recognition using reconstruction errors of the first-phase dictionary as input features. We propose a “zeroth class” trick for detecting undiscriminating frames of the test video and eliminating them before voting on the action categories. Experimental results on benchmarks demonstrate the effectiveness of our method.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127492750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Multi-resolution compressive sensing reconstruction 多分辨率压缩感知重构
International Conference on Information Photonics Pub Date : 2016-02-18 DOI: 10.1109/ICIP.2016.7532815
Adriana Gonzalez, Hong Jiang, Gang Huang, L. Jacques
{"title":"Multi-resolution compressive sensing reconstruction","authors":"Adriana Gonzalez, Hong Jiang, Gang Huang, L. Jacques","doi":"10.1109/ICIP.2016.7532815","DOIUrl":"https://doi.org/10.1109/ICIP.2016.7532815","url":null,"abstract":"We consider the problem of reconstructing an image from compressive measurements using a multi-resolution grid. In this context, the reconstructed image is divided into multiple regions, each one with a different resolution. This problem arises in situations where the image to reconstruct contains a certain region of interest (RoI) that is more important than the rest. Through a theoretical analysis and simulation experiments we show that the multi-resolution reconstruction provides a higher quality of the RoI compared to the traditional single-resolution approach.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125974956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
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