Microscopic halftone image recognition and analysis can provide quantitative evidence for printing quality control and fault diagnosis of printing devices, while halftone image segmentation is one of the significant s...Microscopic halftone image recognition and analysis can provide quantitative evidence for printing quality control and fault diagnosis of printing devices, while halftone image segmentation is one of the significant steps during the procedure. Automatic segmentation on microscopic dots by the aid of the Fuzzy C-Means (FCM) method that takes account of the fuzziness of halftone image and utilizes its color information adequately is realized. Then some examples show the technique effective and simple with better performance of noise immunity than some usual methods. In addition, the segmentation results obtained by the FCM in different color spaces are compared, which indicates that the method using the FCM in the f 1f 2f 3 color space is superior to the rest.展开更多
A novel attribute-based framework is proposed to tackle the problem of halftone water- marking in combination of the spatial/transformation domain. The challenge is that the host image is continuous, while the waterma...A novel attribute-based framework is proposed to tackle the problem of halftone water- marking in combination of the spatial/transformation domain. The challenge is that the host image is continuous, while the watermarked halftone is bi-level. To search for a solution, an attribute image is defined as a good connection between the original grayscale image and its halftone image. When the attribute image is used as a watermark carrier, it helps to fred the watermarked halftone efficiently by solving a constrained modified direct binary search problem. Experimental results demonstrate that the proposed scheme in comparison with other similar methods maintains high watermark capacity with good image quality, high robustness, processing efficiency and easy decoding. Especially it has a good performance in printing application.展开更多
To over come the drawbacks existing in current measurement methods for detecting and controlling colors in printing process, a new medal for color separation and dot recognition is proposed from a view of digital imag...To over come the drawbacks existing in current measurement methods for detecting and controlling colors in printing process, a new medal for color separation and dot recognition is proposed from a view of digital image processing and patter recognition. In this model, firstly data samples are collected from some color patches by the Fuzzy C-Means （FCM） method; then a classifier based on the Cerebellar Model Articulation Controller （CMAC） is constructed which is used to recognize color pattern of each pixel in a microscopic halftone image. The principle of color separation and the algorithm model are introduced and the experiments show the effectiveness of the CMAC-based classifier as opposed to the BP network.展开更多
To realize the distributed storage and management of a secret halftone image in blockchain,a secure separable reversible data hiding(RDH)of halftone image in blockchain(SSRDHB)was proposed.A secret halftone image can ...To realize the distributed storage and management of a secret halftone image in blockchain,a secure separable reversible data hiding(RDH)of halftone image in blockchain(SSRDHB)was proposed.A secret halftone image can be used as the original image to generate multiple share images which can be distributed storage in each point of blockchain,and additional data can be hidden to achieve management of each share image.Firstly,the secret halftone image was encrypted through Zu Chongzhi(ZUC)algorithm by using the encryption key(EK).Secondly,the method of using odd or even of share data was proposed to hide data,and a share dataset can be generated by using polynomial operation.Thirdly,multiple share images can be obtained through selecting share data,and different additional data can be hidden through controlling odd or even of share data,and additional data can be protected by using data-hiding key(DK).After sharing process,if the receiver has both keys,the halftone image can be recovered and additional data can be revealed,and two processes are separable.Experiment results show that multiple share images hidden additional data can be obtained through SSRDHB,and the halftone image can be recovered with 100%by picking any part of share images,and one additional data can be revealed with 100%by picking any one share image.展开更多
针对当前逆半色调方法恢复的图像存在细节不清晰甚至丢失的问题,提出了一种基于注意力编解码器及多残差网络(Encoder-decoder with attention and multi-residual network,EDAMRNet)的逆半色调方法。首先,设计融合注意力机制的编解码器...针对当前逆半色调方法恢复的图像存在细节不清晰甚至丢失的问题,提出了一种基于注意力编解码器及多残差网络(Encoder-decoder with attention and multi-residual network,EDAMRNet)的逆半色调方法。首先,设计融合注意力机制的编解码器结构,在其跳跃连接处添加非对称特征融合模块,以有效提取图像上下文信息;然后,构造多残差网络,捕获并保留图像空间细节信息;最后,应用监督注意力模块对图像上下文信息进行加强,再传递到多残差网络,以恢复出高质量的连续色调图像。实验结果表明:该方法与现有最优方法相比,在Urban100和Manga109数据集下的峰值信噪比平均值均提高了0.1 dB,结构相似性平均值分别提高了0.0010和0.0005。该方法能够在提取图像上下文信息的同时保留图像空间细节信息,可更好地恢复图像纹理信息,提高图像清晰度,为图像逆半色调方法研究提供了一种新的方案。展开更多
文摘Microscopic halftone image recognition and analysis can provide quantitative evidence for printing quality control and fault diagnosis of printing devices, while halftone image segmentation is one of the significant steps during the procedure. Automatic segmentation on microscopic dots by the aid of the Fuzzy C-Means (FCM) method that takes account of the fuzziness of halftone image and utilizes its color information adequately is realized. Then some examples show the technique effective and simple with better performance of noise immunity than some usual methods. In addition, the segmentation results obtained by the FCM in different color spaces are compared, which indicates that the method using the FCM in the f 1f 2f 3 color space is superior to the rest.
基金Supported by the National Natural Science Foundation of China(61100156)the National 12th Five-Year Plan Item of China(513160702)the Fundamental Research Funds for the Central Universities(JB150317,JB140311,K5051303014)
文摘A novel attribute-based framework is proposed to tackle the problem of halftone water- marking in combination of the spatial/transformation domain. The challenge is that the host image is continuous, while the watermarked halftone is bi-level. To search for a solution, an attribute image is defined as a good connection between the original grayscale image and its halftone image. When the attribute image is used as a watermark carrier, it helps to fred the watermarked halftone efficiently by solving a constrained modified direct binary search problem. Experimental results demonstrate that the proposed scheme in comparison with other similar methods maintains high watermark capacity with good image quality, high robustness, processing efficiency and easy decoding. Especially it has a good performance in printing application.
文摘To over come the drawbacks existing in current measurement methods for detecting and controlling colors in printing process, a new medal for color separation and dot recognition is proposed from a view of digital image processing and patter recognition. In this model, firstly data samples are collected from some color patches by the Fuzzy C-Means （FCM） method; then a classifier based on the Cerebellar Model Articulation Controller （CMAC） is constructed which is used to recognize color pattern of each pixel in a microscopic halftone image. The principle of color separation and the algorithm model are introduced and the experiments show the effectiveness of the CMAC-based classifier as opposed to the BP network.
基金supported by the Beijing City Board of Education Science and Technology Key Project(KZ201710015010)the Scientific Research Common Program of Beijing Municipal Commission of Education(KM202110015004)+2 种基金the Beijing Institute of Graphic Communication Excellent Course Construction Project for Postgraduates(21090121021)the Beijing Institute of Graphic Communication Project(Ec202007,Eb202004)the Initial Funding for the Doctoral Program of Beijing Institute of Graphic Communication(27170120003/022)。
文摘To realize the distributed storage and management of a secret halftone image in blockchain,a secure separable reversible data hiding(RDH)of halftone image in blockchain(SSRDHB)was proposed.A secret halftone image can be used as the original image to generate multiple share images which can be distributed storage in each point of blockchain,and additional data can be hidden to achieve management of each share image.Firstly,the secret halftone image was encrypted through Zu Chongzhi(ZUC)algorithm by using the encryption key(EK).Secondly,the method of using odd or even of share data was proposed to hide data,and a share dataset can be generated by using polynomial operation.Thirdly,multiple share images can be obtained through selecting share data,and different additional data can be hidden through controlling odd or even of share data,and additional data can be protected by using data-hiding key(DK).After sharing process,if the receiver has both keys,the halftone image can be recovered and additional data can be revealed,and two processes are separable.Experiment results show that multiple share images hidden additional data can be obtained through SSRDHB,and the halftone image can be recovered with 100%by picking any part of share images,and one additional data can be revealed with 100%by picking any one share image.
文摘针对当前逆半色调方法恢复的图像存在细节不清晰甚至丢失的问题,提出了一种基于注意力编解码器及多残差网络(Encoder-decoder with attention and multi-residual network,EDAMRNet)的逆半色调方法。首先,设计融合注意力机制的编解码器结构,在其跳跃连接处添加非对称特征融合模块,以有效提取图像上下文信息;然后,构造多残差网络,捕获并保留图像空间细节信息;最后,应用监督注意力模块对图像上下文信息进行加强,再传递到多残差网络,以恢复出高质量的连续色调图像。实验结果表明:该方法与现有最优方法相比,在Urban100和Manga109数据集下的峰值信噪比平均值均提高了0.1 dB,结构相似性平均值分别提高了0.0010和0.0005。该方法能够在提取图像上下文信息的同时保留图像空间细节信息,可更好地恢复图像纹理信息,提高图像清晰度,为图像逆半色调方法研究提供了一种新的方案。
