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EURASIP Journal on Image and Video Processing
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  1. With the increasing application of computer vision technology in autonomous driving, robot, and other mobile devices, more and more attention has been paid to the implementation of target detection and trackin...

    Authors: Qingbo Ji, Chong Dai, Changbo Hou and Xun Li

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:21

    Content type: Research

    Published on:

  2. Single-frame image super-resolution (SISR) technology in remote sensing is improving fast from a performance point of view. Deep learning methods have been widely used in SISR to improve the details of rebuilt...

    Authors: Jiali Tang, Jie Zhang, Dan Chen, Najla Al-Nabhan and Chenrong Huang

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:20

    Content type: Research

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  3. Computer vision is an interdisciplinary domain for object detection. Object detection relay is a vital part in assisting surveillance, vehicle detection and pose estimation. In this work, we proposed a novel d...

    Authors: Kaliappan Madasamy, Vimal Shanmuganathan, Vijayalakshmi Kandasamy, Mi Young Lee and Manikandan Thangadurai

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:19

    Content type: Research

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  5. Inspired by quaternion algebra and the idea of fractional-order transformation, we propose a new set of quaternion fractional-order generalized Laguerre orthogonal moments (QFr-GLMs) based on fractional-order ...

    Authors: Bing He, Jun Liu, Tengfei Yang, Bin Xiao and Yanguo Peng

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:17

    Content type: Research

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  6. In this paper, we propose a hybrid super-resolution method by combining global and local dictionary training in the sparse domain. In order to present and differentiate the feature mapping in different scales,...

    Authors: Wenyi Wang, Jun Hu, Xiaohong Liu, Jiying Zhao and Jianwen Chen

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:16

    Content type: Research

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  7. Methods using salient facial patches (SFPs) play a significant role in research on facial expression recognition. However, most SFP methods use only frontal face images or videos for recognition, and they do n...

    Authors: Bin Jiang, Qiuwen Zhang, Zuhe Li, Qinggang Wu and Huanlong Zhang

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:15

    Content type: Research

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  8. Agriculture plays a critical role in the economy of several countries, by providing the main sources of income, employment, and food to their rural population. However, in recent years, it has been observed th...

    Authors: Muhammad Attique Khan, Tallha Akram, Muhammad Sharif, Majed Alhaisoni, Tanzila Saba and Nadia Nawaz

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:14

    Content type: Research

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  10. The autoimmune disorders such as rheumatoid, arthritis, and scleroderma are connective tissue diseases (CTD). Autoimmune diseases are generally diagnosed using the antinuclear antibody (ANA) blood test. This t...

    Authors: Abu-Zinadah Hanaa and Abdel Azim Gamil

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:12

    Content type: Research

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  12. Perfect image compositing can harmonize the appearance between the foreground and background effectively so that the composite result looks seamless and natural. However, the traditional convolutional neural n...

    Authors: Bing Yu, Youdong Ding, Zhifeng Xie and Dongjin Huang

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:10

    Content type: Research

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  13. Recent attention to facial alignment and landmark detection methods, particularly with application of deep convolutional neural networks, have yielded notable improvements. Neither these neural-network nor mor...

    Authors: Xiang Li, Jianzheng Liu, Jessica Baron, Khoa Luu and Eric Patterson

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:9

    Content type: Review

    Published on:

  14. Touchless fingerprint recognition represents a rapidly growing field of research which has been studied for more than a decade. Through a touchless acquisition process, many issues of touch-based systems are c...

    Authors: Jannis Priesnitz, Christian Rathgeb, Nicolas Buchmann, Christoph Busch and Marian Margraf

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:8

    Content type: Review

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  15. As High Efficiency Video Coding (HEVC) is a worldwide popular video coding standard, the steganography of HEVC videos has gained more and more attention. Prediction unit (PU) is one of the most important innov...

    Authors: Zhenzhen Zhang, Zhaohong Li, Jindou Liu, Huanma Yan and Lifang Yu

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:7

    Content type: Research

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  16. Due to the complex morphology and characteristic of retinal vessels, it remains challenging for most of the existing algorithms to accurately detect them. This paper proposes a supervised retinal vessels extra...

    Authors: Yang Yu and Hongqing Zhu

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:6

    Content type: Research

    Published on:

  17. Social media plays an increasingly important role in providing information and social support to users. Due to the easy dissemination of content, as well as difficulty to track on the social network, we are mo...

    Authors: Yanyang Guo, Hanzhou Wu and Xinpeng Zhang

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:5

    Content type: Research

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  18. Social e-commerce has been a hot topic in recent years, with the number of users increasing year by year and the transaction money exploding. Unlike traditional e-commerce, the main activities of social e-comm...

    Authors: Haoliang Cui, Shuai Shao, Shaozhang Niu, Chengjie Shi and Lingyu Zhou

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:4

    Content type: Research

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  19. In recent years, great progress has been made in recognizing human activities in complete image sequences. However, predicting human activity earlier in a video is still a challenging task. In this paper, a no...

    Authors: Zhengkui Weng, Wuzhao Li and Zhipeng Jin

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:3

    Content type: Research

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  21. The excellent cover estimation is very important to the payload location of JPEG image steganography. But it is still hard to exactly estimate the quantized DCT coefficients in cover JPEG image. Therefore, thi...

    Authors: Jie Wang, Chunfang Yang, Ma Zhu, Xiaofeng Song, Yuan Liu and Yuemeng Lian

    Citation: EURASIP Journal on Image and Video Processing 2021 2021:1

    Content type: Research

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  22. Due to the prevalence of social media service, effective and efficient online image retrieval is in urgent need to satisfy diversified requirements of Web users. Previous studies are mainly focusing on bridgin...

    Authors: Xuezhuan Zhao, Lishen Pei, Tao Li and Zheng Zhang

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:53

    Content type: Research

    Published on:

  23. Chinese named entity recognition (CNER) in the judicial domain is an important and fundamental task in the analysis of judgment documents. However, only a few researches have been devoted to this task so far. ...

    Authors: Wenming Huang, Dengrui Hu, Zhenrong Deng and Jianyun Nie

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:52

    Content type: Research

    Published on:

  24. Artificial intelligence has been widely studied on solving intelligent surveillance analysis and security problems in recent years. Although many multimedia security approaches have been proposed by using deep...

    Authors: Xu Cheng, Chen Song, Yongxiang Gu and Beijing Chen

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:51

    Content type: Research

    Published on:

  27. Communications industry has remarkably changed with the development of fifth-generation cellular networks. Image, as an indispensable component of communication, has attracted wide attention. Thus, finding a s...

    Authors: Guangyi Yang, Xingyu Ding, Tian Huang, Kun Cheng and Weizheng Jin

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:48

    Content type: Research

    Published on:

  28. This paper deals with the current Blockchain adopted in the various types of trading markets supporting smart contracts that process text-based transaction information only when exchanging cryptocurrencies. Ev...

    Authors: Seong-Kyu Kim and Jun-Ho Huh

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:47

    Content type: Research

    Published on:

  29. Steganography is one of the important methods in the field of information hiding, which is the technique of hiding secret data within an ordinary file or message in order to avoid the detection of steganalysis...

    Authors: Zhangjie Fu, Fan Wang and Xu Cheng

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:46

    Content type: Research

    Published on:

  30. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Giuseppe Conti, Christos Kyrkou, Theocharis Theocharides, Gustavo Hernández-Peñaloza and David Jiménez

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:45

    Content type: Correction

    Published on:

    The original article was published in EURASIP Journal on Image and Video Processing 2020 2020:31

  31. Image completion is an approach to fill a damaged region (hole) in an image. In this study, we adopt a novel method which can repair a target region with structural constraints in an architectural scene. An ob...

    Authors: Qiaochuan Chen, Guangyao Li, Qingguo Xiao, Li Xie and Mang Xiao

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:44

    Content type: Research

    Published on:

  33. In (k,n) secret sharing scheme, one secret is encrypted into n shares in such a way that only k or more shares can decrypt the secret. Secret sharing scheme can be extended into the field of multimedia that provi...

    Authors: Zheng Ma, Yan Ma, Xiaohong Huang, Manjun Zhang and Yanxiao Liu

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:42

    Content type: Research

    Published on:

  34. A high-quality underwater image is essential to many industrial and academic applications in the field of image processing and analysis. Unfortunately, underwater images frequently demonstrate poor visual qual...

    Authors: Herng-Hua Chang, Po-Fang Chen, Jun-Kai Guo and Chia-Chi Sung

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:41

    Content type: Research

    Published on:

  35. When embedding secret message into image by steganography with matrix encoding, there are still no effective methods to recover the stego key because it is difficult to statistically distinguish the stego coef...

    Authors: Jiufen Liu, Chunfang Yang, Junchao Wang and Yanan Shi

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:40

    Content type: Research

    Published on:

  36. Since the concept of coverless information hiding was proposed, it has been greatly developed due to its effectiveness of resisting the steganographic tools. Most existing coverless image steganography (CIS) m...

    Authors: Qiang Liu, Xuyu Xiang, Jiaohua Qin, Yun Tan and Yao Qiu

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:39

    Content type: Research

    Published on:

  37. Stereo matching is one of the most important topics in computer vision and aims at generating precise depth maps for various applications. The major challenge of stereo matching is to suppress inevitable error...

    Authors: Chih-Shuan Huang, Ya-Han Huang, Din-Yuen Chan and Jar-Ferr Yang

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:38

    Content type: Research

    Published on:

  38. In order to protect the intellectual property of neural network, an owner may select a set of trigger samples and their corresponding labels to train a network, and prove the ownership by the trigger set witho...

    Authors: Renjie Zhu, Xinpeng Zhang, Mengte Shi and Zhenjun Tang

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:37

    Content type: Research

    Published on:

  39. To fundamentally resist the steganalysis, coverless information hiding has been proposed, and it has become a research hotspot in the field of covert communication. However, the current methods not only requir...

    Authors: Yi Cao, Zhili Zhou, Q. M. Jonathan Wu, Chengsheng Yuan and Xingming Sun

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:36

    Content type: Research

    Published on:

  40. This paper proposes a new neural network learning method to improve the performance for action recognition in video. Most human action recognition methods use a clip-level training strategy, which divides the ...

    Authors: Qinghongya Shi, Hong-Bo Zhang, Hao-Tian Ren, Ji-Xiang Du and Qing Lei

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:35

    Content type: Research

    Published on:

  41. Textual content appearing in videos represents an interesting index for semantic retrieval of videos (from archives), generation of alerts (live streams), as well as high level applications like opinion mining...

    Authors: Ali Mirza, Ossama Zeshan, Muhammad Atif and Imran Siddiqi

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:34

    Content type: Research

    Published on:

  42. In this paper, a new reversible data hiding scheme in encrypted binary image is proposed by shared pixel prediction and halving compression. We first divide binary image into non-overlapping pure color blocks ...

    Authors: Fengyong Li, Lianming Zhang and Weimin Wei

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:33

    Content type: Research

    Published on:

  43. The early hepatic fibrosis staging is very important for timely diagnosis, prognosis, and treatment of all chronic liver diseases. Diffraction-enhanced imaging, which can provide much more information on soft ...

    Authors: Jing Wang, Hui Li, Xiuling Zhou, Xiao-Zhi Gao and Ming Wang

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:32

    Content type: Research

    Published on:

  44. This paper presents a framework for complete simulation and verification of Serial Digital Interface (SDI) video using a verilog test-bench and geared toward FPGAs. This framework permits simulating the entire...

    Authors: Giuseppe Conti, Christos Kyrkou, Theocharis Theocharides, Gustavo Hernández-Peñaloza and David Jiménez

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:31

    Content type: Research

    Published on:

    The Correction to this article has been published in EURASIP Journal on Image and Video Processing 2020 2020:45

  45. As a large number of images are transmitted through social networks every moment, terrorists may hide data into images to convey secret data. Various types of images are mixed up in the social networks, and it...

    Authors: Huaqi Wang, Zhenxing Qian, Guorui Feng and Xinpeng Zhang

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:30

    Content type: Research

    Published on:

  46. The anchor-free method based on key point detection has made great progress. However, the anchor-free method is too dependent on using a convolutional network to generate a rough heatmap. This is difficult to ...

    Authors: He Yang, Beibei Fan and Lingling Guo

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:29

    Content type: Research

    Published on:

  47. In recent years, researchers have been making great progress in the steganalysis technology based on convolution neural networks (CNN). However, experts ignore the contribution of nonlinear residual and joint ...

    Authors: Ze Wang, Mingzhi Chen, Yu Yang, Min Lei and Zhexuan Dong

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:28

    Content type: Research

    Published on:

  48. The core of a content-based image retrieval (CBIR) system is based on an effective understanding of the visual contents of images due to which a CBIR system can be termed as accurate. One of the most prominent...

    Authors: Ruqia Bibi, Zahid Mehmood, Rehan Mehmood Yousaf, Muhammad Tahir, Amjad Rehman, Muhammad Sardaraz and Muhammad Rashid

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:27

    Content type: Research

    Published on:

  49. The accuracy of the applied technique for automated nuclei segmentation is critical in obtaining high-quality and efficient diagnostic results. Unfortunately, multiple objects in histopathological images are c...

    Authors: Lukasz Roszkowiak, Anna Korzynska, Dorota Pijanowska, Ramon Bosch, Marylene Lejeune and Carlos Lopez

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:26

    Content type: Research

    Published on:

  50. Deep learning technology has enabled successful modeling of complex facial features when high-quality images are available. Nonetheless, accurate modeling and recognition of human faces in real-world scenarios...

    Authors: Samadhi P. K. Wickrama Arachchilage and Ebroul Izquierdo

    Citation: EURASIP Journal on Image and Video Processing 2020 2020:25

    Content type: Review

    Published on:

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  • ISSN: 1687-5281 (electronic)

EURASIP Best paper awards 2021

We are pleased to announce that the following paper published in EURASIP Journal on Image and Video Processing has been awarded a EURASIP best paper award!


Research

DIBR synthesized image quality assessment based on morphological multiscale approach
Dragana Sandić-Stanković, Dragan Kukolj, and Patrick Le Callet

The award ceremony will take place at the upcoming virtual edition of EUSIPCO to be held in August 2021. For more information see the EURASIP newsletter.