Journal of Visual Communication and Image Representation最新文献_第9页

An illumination-guided dual-domain network for image exposure correction 用于图像曝光校正的照明引导双域网络

IF 2.6 4区计算机科学

Journal of Visual Communication and Image Representation Pub Date : 2024-10-01 DOI: 10.1016/j.jvcir.2024.104313

Jie Yang, Yuantong Zhang, Zhenzhong Chen, Daiqin Yang

{"title":"An illumination-guided dual-domain network for image exposure correction","authors":"Jie Yang, Yuantong Zhang, Zhenzhong Chen, Daiqin Yang","doi":"10.1016/j.jvcir.2024.104313","DOIUrl":"10.1016/j.jvcir.2024.104313","url":null,"abstract":"<div><div>Exposure problems, including underexposure and overexposure, can significantly degrade image quality. Poorly exposed images often suffer from coupled illumination degradation and detail degradation, aggravating the difficulty of recovery. These necessitate a spatial discriminating exposure correction, making achieving uniformly exposed and visually consistent images challenging. To address these issues, we propose an Illumination-guided Dual-domain Network (IDNet), which employs a Dual-Domain Module (DDM) to simultaneously recover illumination and details from the frequency and spatial domains, respectively. The DDM also integrates a structural re-parameterization technique to enhance the detail-aware capabilities with reduced computational cost. An Illumination Mask Predictor (IMP) is introduced to guide exposure correction by estimating the optimal illumination mask. The comparison with 26 methods on three benchmark datasets shows that IDNet achieves superior performance with fewer parameters and lower computational complexity. These results confirm the effectiveness and efficiency of our approach in enhancing image quality across various exposure scenarios.</div></div>","PeriodicalId":54755,"journal":{"name":"Journal of Visual Communication and Image Representation","volume":"104 ","pages":"Article 104313"},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142446137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust text watermarking based on average skeleton mass of characters against cross-media attacks 基于字符平均骨架质量的鲁棒文本水印技术对抗跨媒体攻击

IF 2.6 4区计算机科学

Journal of Visual Communication and Image Representation Pub Date : 2024-10-01 DOI: 10.1016/j.jvcir.2024.104300

Xinyi Huang, Hongxia Wang

{"title":"Robust text watermarking based on average skeleton mass of characters against cross-media attacks","authors":"Xinyi Huang, Hongxia Wang","doi":"10.1016/j.jvcir.2024.104300","DOIUrl":"10.1016/j.jvcir.2024.104300","url":null,"abstract":"<div><div>The wide spread of digital documents makes it essential to protect intellectual property and information security. As a key method of digital copyright protection, robust document watermarking technology has attracted much attention in this context. With the rapid development of current electronic devices, the ways of document theft are no longer limited to copy and transmission. Due to the convenient and fast shooting operation of the camera on paper or screen, current text watermarking methods need to be robust to cope with cross-media transmission. To realize the corresponding robust text watermarking, a text watermarking scheme based on the average skeleton mass of characters is proposed in this paper, and the average skeleton mass of adjacent characters is used to represent the watermark information. In this paper, a watermarking scheme is designed to modify character pixels, which can modify glyphs without loss of transparency and provide high embedding capacity. Compared with the existing manually designed font-based text watermarking schemes, this scheme does not need to accurately segment characters, nor does it rely on stretching characters to the same size for matching, which reduces the need for character segmentation. In addition, the experimental results show that the proposed watermarking scheme can be robust to the information transmission modes including print-scan, print-camera and screen-camera.</div></div>","PeriodicalId":54755,"journal":{"name":"Journal of Visual Communication and Image Representation","volume":"104 ","pages":"Article 104300"},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142356790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effective image compression using hybrid DCT and hybrid capsule auto encoder for brain MR images 使用混合 DCT 和混合胶囊自动编码器对脑部 MR 图像进行有效压缩

IF 2.6 4区计算机科学

Journal of Visual Communication and Image Representation Pub Date : 2024-10-01 DOI: 10.1016/j.jvcir.2024.104296

Bindu Puthentharayil Vikraman , Jabeena Afthab

{"title":"Effective image compression using hybrid DCT and hybrid capsule auto encoder for brain MR images","authors":"Bindu Puthentharayil Vikraman , Jabeena Afthab","doi":"10.1016/j.jvcir.2024.104296","DOIUrl":"10.1016/j.jvcir.2024.104296","url":null,"abstract":"<div><div>Nowadays, image compression is gaining popularity in various fields because of its storage and transmission capability. This work aims to introduce a medical image (MI) compression model in brain magnetic resonance images (MRI) to mitigate issues in bandwidth and storage. Initially, pre-processing is done to neglect the noises in inputs using the Adaptive Linear Smoothing and Histogram Equalization (ALSHE) method. Then, the Region of Interest (ROI) and Non-ROI parts are separately segmented by the Optimized Fuzzy C-Means (OFCM) approach for reducing high complexity issues. Finally, a novel Hybrid Discrete Cosine Transform-Improved Zero Wavelet (DCT-IZW) is proposed for lossless compression and Hybrid Equilibrium Optimization-Capsule Auto Encoder (EO-CAE) for lossy compression. Then, the compressed ROI and Non-ROI images are added together, and the inverse operation of the compression process is performed to obtain the reconstructed image. This study used BRATS (2015, 2018) datasets for simulation and attained better performance than other existing methods.</div></div>","PeriodicalId":54755,"journal":{"name":"Journal of Visual Communication and Image Representation","volume":"104 ","pages":"Article 104296"},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142356791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Image quilting heuristic compressed sensing video privacy protection coding for abnormal behavior detection in private scenes 图像绗缝启发式压缩传感视频隐私保护编码用于私密场景中的异常行为检测

IF 2.6 4区计算机科学

Journal of Visual Communication and Image Representation Pub Date : 2024-10-01 DOI: 10.1016/j.jvcir.2024.104307

Jixin Liu, Shabo Hu, Haigen Yang, Ning Sun

{"title":"Image quilting heuristic compressed sensing video privacy protection coding for abnormal behavior detection in private scenes","authors":"Jixin Liu, Shabo Hu, Haigen Yang, Ning Sun","doi":"10.1016/j.jvcir.2024.104307","DOIUrl":"10.1016/j.jvcir.2024.104307","url":null,"abstract":"<div><div>For video intelligence applications in private scenes such as home environments, traditional image processing methods are usually based on clear raw data and are prone to privacy leakage. Therefore, our team proposed multilayer compressed sensing (MCS) encoding to reduce image quality for visual privacy protection (VPP). However, the way in which MCS coding is implemented leads to unavoidable information loss. On this basis, inspired by the image quilting (IQ) algorithm, an image quilting heuristic MCS (IQ-MCS) coding method is proposed in this paper to improve the problem of faster information loss in the MCS coding process, which means that a similar privacy protection effect is achieved at lower coding layers, thus obtaining better application performance. To evaluate the level of VPP, a VPP evaluation algorithm is proposed that is more in line with subjective assessment. Finally, a correlation model between the VPP level and the performance of smart applications is established to balance the relationships between them, taking the detection of abnormal human behavior in private scenes as an example. The model can also provide a reference for the evaluation of other privacy protection methods.</div></div>","PeriodicalId":54755,"journal":{"name":"Journal of Visual Communication and Image Representation","volume":"104 ","pages":"Article 104307"},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142424084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PVT2DNet: Polyp segmentation with vision transformer and dual decoder refinement strategy PVT2DNet：利用视觉变换器和双解码器细化策略进行息肉分割

IF 2.6 4区计算机科学

Journal of Visual Communication and Image Representation Pub Date : 2024-10-01 DOI: 10.1016/j.jvcir.2024.104304

Yibiao Hu, Yan Jin, Zhiwei Jiang, Qiufu Zheng

引用次数: 0

Corrigendum to “Mask-guided discriminative feature network for occluded person re-identification” [J. Vis. Commun. Image Represent. 101 (2024) 104178] 对 "用于模糊人物再识别的遮罩引导判别特征网络 "的更正 [J. Vis. Commun. Image Represent. 101 (2024) 104178]

IF 2.6 4区计算机科学

Journal of Visual Communication and Image Representation Pub Date : 2024-10-01 DOI: 10.1016/j.jvcir.2024.104301

Fujin Zhong, Yunhe Wang, Hong Yu, Jun Hu, Yan Yang

引用次数: 0

Efficient license plate recognition in unconstrained scenarios 无约束场景下的高效车牌识别

IF 2.6 4区计算机科学

Journal of Visual Communication and Image Representation Pub Date : 2024-10-01 DOI: 10.1016/j.jvcir.2024.104314

Chao Wei , Fei Han , Zizhu Fan , Linrui Shi , Cheng Peng

{"title":"Efficient license plate recognition in unconstrained scenarios","authors":"Chao Wei , Fei Han , Zizhu Fan , Linrui Shi , Cheng Peng","doi":"10.1016/j.jvcir.2024.104314","DOIUrl":"10.1016/j.jvcir.2024.104314","url":null,"abstract":"<div><div>Automatic license plate recognition (ALPR) is a critical technology for intelligent transportation systems. Most existing ALPR methods are focused on specific application scenarios. Although there are a few methods that focus on unconstrained scenarios, they are very time-consuming. In this work, we propose an efficient ALPR (EALPR) framework, where we can handle distorted license plates (LP) caused by perspective problems with high efficiency. We design a light LPD structure based on efficient object detection methods and use anchor-free strategies for LPD to alleviate the problem of expensive costs. Benefitting from these optimizations and a united framework structure, the proposed EALPR has real-time efficiency. We evaluate our method on five datasets and the results show that our method achieves state-of-the-art accuracy: 98.15% on OpenALPR(EU), 95.61% on OpenALPR(BR), 99.51% on AOLP(RP), 88.81% on SSIG, 79.41% on CD-HARD. Additionally, our method achieves an impressive speed of 74.9 FPS (Frames Per Second), outperforming existing approaches and demonstrating its efficiency. Our source code can be accessed at <span><span>https://github.com/wechao18/Efficient-alpr-unconstrained</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":54755,"journal":{"name":"Journal of Visual Communication and Image Representation","volume":"104 ","pages":"Article 104314"},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

UAT:Unsupervised object tracking based on graph attention information embedding UAT：基于图注意信息嵌入的无监督物体跟踪

IF 2.6 4区计算机科学

Journal of Visual Communication and Image Representation Pub Date : 2024-10-01 DOI: 10.1016/j.jvcir.2024.104283

Lixin Wei , Rongzhe Zhu , Ziyu Hu , Zeyu Xi

{"title":"UAT:Unsupervised object tracking based on graph attention information embedding","authors":"Lixin Wei , Rongzhe Zhu , Ziyu Hu , Zeyu Xi","doi":"10.1016/j.jvcir.2024.104283","DOIUrl":"10.1016/j.jvcir.2024.104283","url":null,"abstract":"<div><div>An excellent unsupervised tracker includes a powerful base tracker and an effective unsupervised tracking strategy. However, most base trackers lack internal feature representations for information embedding processes. Most unsupervised trackers are not robust enough in complex environments and lack an effective template update strategy. We propose an unsupervised object tracking based on graph attention information embedding (UAT) to solve the above problems. UAT combines graph attention mechanism with multi-scale features to construct a multi-scale graph attention module (MGA). MGA module dynamically and efficiently completes the information embedding between the template branch and the search area branch. The response map obtained by fusing the feature maps of the two branches is more informative about the location of the target. An attention based information reinforcement update module (RUM) improves the robustness of the tracker. RUM enhances the representation of the feature map in both the spatial dimension and the channel dimension. Template features are also updated indirectly through information transfer between the two branches. RUM suppresses background interference and improves network perception during tracking. Experiments on challenging benchmarks such as VOT2018, VOT2019, TrackingNet, OTB100, LaSOT and UAV123 demonstrate that the proposed UAT achieves state-of-the-art performance in unsupervised trackers.</div></div>","PeriodicalId":54755,"journal":{"name":"Journal of Visual Communication and Image Representation","volume":"104 ","pages":"Article 104283"},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CAAM: A calibrated augmented attention module for masked face recognition CAAM：用于蒙面人脸识别的校准增强注意力模块

IF 2.6 4区计算机科学

Journal of Visual Communication and Image Representation Pub Date : 2024-10-01 DOI: 10.1016/j.jvcir.2024.104315

M. Saad Shakeel

引用次数: 0

Distance distributions and runtime analysis of perceptual hashing algorithms 感知散列算法的距离分布和运行分析

IF 2.6 4区计算机科学

Journal of Visual Communication and Image Representation Pub Date : 2024-10-01 DOI: 10.1016/j.jvcir.2024.104310

Shivdutt Sharma

引用次数: 0