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  1. In real scenes, small target faces often encounter various conditions, such as intricate background, occlusion and scale change, which leads to the problem of omission or misdetection of face detection results...

    Authors: Bin Jiang, Hongbin Jiang, Huanlong Zhang, Qiuwen Zhang, Zuhe Li and Lixun Huang
    Citation: EURASIP Journal on Image and Video Processing 2024 2024:10
  2. The lie-detection tests are traditionally carried out by well-trained experts using polygraph machines. However, it is time-consuming, invasive, and, overall, a cumbersome process, not admissible by the court ...

    Authors: Saswata Satpathi, K. Mohamed Ismail Yasar Arafath, Aurobinda Routray and Partha Sarathi Satpathi
    Citation: EURASIP Journal on Image and Video Processing 2024 2024:9
  3. This contribution presents the TOMIE framework (Tracking Of Multiple Industrial Entities), a framework for the continuous tracking of industrial entities (e.g., pallets, crates, barrels) over a network of, in ...

    Authors: Jérôme Rutinowski, Hazem Youssef, Sven Franke, Irfan Fachrudin Priyanta, Frederik Polachowski, Moritz Roidl and Christopher Reining
    Citation: EURASIP Journal on Image and Video Processing 2024 2024:8
  4. Speckle noise corrupts synthetic aperture radar (SAR) images and limits their applications in sensitive scientific and engineering fields. This challenge has attracted several scholars because of the wide dema...

    Authors: Anthony Bua, Goodluck Kapyela, Libe Massawe and Baraka Maiseli
    Citation: EURASIP Journal on Image and Video Processing 2024 2024:5
  5. Multimodal few-shot learning aims to exploit complementary information inherent in multiple modalities for vision tasks in low data scenarios. Most of the current research focuses on a suitable embedding space...

    Authors: Jun Qing Chang, Deepu Rajan and Nicholas Vun
    Citation: EURASIP Journal on Image and Video Processing 2024 2024:4
  6. Secure transmission of images over wireless communications systems can be done using RSA, the most known and efficient cryptographic algorithm, and OFDMA, the most preferred signal processing choice in wireles...

    Authors: Farouk Abduh Kamil Al-Fahaidy, Radwan AL-Bouthigy, Mohammad Yahya H. Al-Shamri and Safwan Abdulkareem
    Citation: EURASIP Journal on Image and Video Processing 2024 2024:3
  7. Plant diseases have a significant impact on leaves, with each disease exhibiting specific spots characterized by unique colors and locations. Therefore, it is crucial to develop a method for detecting these di...

    Authors: Lobna M. Abouelmagd, Mahmoud Y. Shams, Hanaa Salem Marie and Aboul Ella Hassanien
    Citation: EURASIP Journal on Image and Video Processing 2024 2024:2
  8. SiamFC++ only extracts the object feature of the first frame as a tracking template, and only uses the highest level feature maps in both the classification branch and the regression branch, so that the respec...

    Authors: Xiaofeng Lu, Xuan Wang, Zhengyang Wang and Xinhong Hei
    Citation: EURASIP Journal on Image and Video Processing 2024 2024:1
  9. To realize the act of covert communication in a public channel, steganography is proposed. In the current study, modern adaptive steganography plays a dominant role due to its high undetectability. However, th...

    Authors: Tong Qiao, Shengwang Xu, Shuai Wang, Xiaoshuai Wu, Bo Liu, Ning Zheng, Ming Xu and Binmin Pan
    Citation: EURASIP Journal on Image and Video Processing 2023 2023:15
  10. Advancements in facial manipulation technology have resulted in highly realistic and indistinguishable face and expression swap videos. However, this has also raised concerns regarding the security risks assoc...

    Authors: Saima Waseem, Syed Abdul Rahman Syed Abu-Bakar, Zaid Omar, Bilal Ashfaq Ahmed, Saba Baloch and Adel Hafeezallah
    Citation: EURASIP Journal on Image and Video Processing 2023 2023:14
  11. This paper investigates deep learning (DL)-based semantic segmentation of textured mosaics. Existing popular datasets for mosaic texture segmentation, designed prior to the DL era, have several limitations: (1...

    Authors: Melissa Cote, Amanda Dash and Alexandra Branzan Albu
    Citation: EURASIP Journal on Image and Video Processing 2023 2023:13
  12. The availability of real data from areas with high privacy requirements, such as the medical intervention space is low and the acquisition complex in terms of data protection. To enable research for assistance...

    Authors: Patrick Schülein, Hannah Teufel, Ronja Vorpahl, Indira Emter, Yannick Bukschat, Marcus Pfister, Nils Rathmann, Steffen Diehl and Marcus Vetter
    Citation: EURASIP Journal on Image and Video Processing 2023 2023:12
  13. Image quality assessment (IQA) has become a hot issue in the area of image processing, which aims to evaluate image quality automatically by a metric being consistent with subjective evaluation. The first stag...

    Authors: Congmin Chen and Xuanqin Mou
    Citation: EURASIP Journal on Image and Video Processing 2023 2023:11
  14. 360-degree videos have become increasingly popular with the application of virtual reality (VR) technology. To encode such kind of videos with ultra-high resolution, an efficient and real-time video encoder be...

    Authors: Mengmeng Zhang, Yan Hou and Zhi Liu
    Citation: EURASIP Journal on Image and Video Processing 2023 2023:9
  15. Psoriasis is a common skin disorder that should be differentiated from other dermatoses if an effective treatment has to be applied. Regions of Interests, or scans for short, of diseased skin are processed by ...

    Authors: Mariusz Nieniewski, Leszek J. Chmielewski, Sebastian Patrzyk and Anna Woźniacka
    Citation: EURASIP Journal on Image and Video Processing 2023 2023:7
  16. Heterogeneous scene matching is a key technology in the field of computer vision. The image rotation problem is popular and difficult in the field of heterogeneous scene matching. In this paper, a heterogeneou...

    Authors: Qingge Li, Ruitao Lu, Xiaogang Yang, Siyu Wang, Tong Shen, Wenxin Xia and Zhaoying Wei
    Citation: EURASIP Journal on Image and Video Processing 2023 2023:6
  17. This article presents a fast parallel lossless technique and a lossy image compression technique for 16-bit single-channel images. Nowadays, such techniques are “a must” in robotics and other areas where sever...

    Authors: Juan P. D’Amato
    Citation: EURASIP Journal on Image and Video Processing 2023 2023:5
  18. Vehicle Logo Detection (VLD) is of great significance to Intelligent Transportation Systems (ITS). Although many methods have been proposed for VLD, it remains a challenging problem. To improve the VLD accurac...

    Authors: Xiaohui Shi, Shengli Ma, Yang Shen, Yankun Yang and Zexin Tan
    Citation: EURASIP Journal on Image and Video Processing 2023 2023:4
  19. Training Convolutional Neural Networks (CNN) is a resource-intensive task that requires specialized hardware for efficient computation. One of the most limiting bottlenecks of CNN training is the memory cost a...

    Authors: Tristan Hascoet, Quentin Febvre, Weihao Zhuang, Yasuo Ariki and Tetsuya Takiguchi
    Citation: EURASIP Journal on Image and Video Processing 2023 2023:1
  20. Bone age assessment (BAA) evaluates individual skeletal maturity by comparing the characteristics of skeletal development to the standard in a specific population. The X-ray image examination for bone age is t...

    Authors: Yang Jia, Xinmeng Zhang, Hanrong Du, Weiguang Chen, Xiaohui Jin, Wei Qi, Bin Yang, Qiujuan Zhang and Zhi Wei
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:12
  21. Palpation localization is essential for detecting physiological parameters of the radial artery for pulse diagnosis of Traditional Chinese Medicine (TCM). Detecting signal or applying pressure at the wrong loc...

    Authors: Qiliang Chen, Yulin Huang, Xing Zhu, Hong Lu, Zhongzhi Ji, Jiacheng Yang and Jingjing Luo
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:11
  22. This study proposes a novel network model for video action tube detection. This model is based on a location-interactive weakly supervised spatial–temporal attention mechanism driven by multiple loss functions...

    Authors: Jinlei Zhu, Houjin Chen, Pan Pan and Jia Sun
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:10
  23. In recent years, deep learning, especially deep convolutional neural networks (DCNN), has made great progress. Many researchers use different DCNN models to detect remote sensing targets. Different DCNN models...

    Authors: Huaijin Liu, Jixiang Du, Yong Zhang and Hongbo Zhang
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:9
  24. Recently, inspired by the growing power of deep convolutional neural networks (CNNs) and generative adversarial networks (GANs), facial image editing has received increasing attention and has produced a series...

    Authors: Qiushi Sun, Jingtao Guo and Yi Liu
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:7
  25. With the rapid development of 3D coding and display technologies, numerous applications are emerging to target human immersive entertainments. To achieve a prime 3D visual experience, high accuracy depth maps ...

    Authors: Kuan-Ting Lee, En-Rwei Liu, Jar-Ferr Yang and Li Hong
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:6
  26. Bosniak renal cyst classification has been widely used in determining the complexity of a renal cyst. However, it turns out that about half of patients undergoing surgery for Bosniak category III, take surgica...

    Authors: Parin Kittipongdaja and Thitirat Siriborvornratanakul
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:5
  27. Despite the impressive performance of correlation filter-based trackers in terms of robustness and accuracy, the trackers have room for improvement. The majority of existing trackers use a single feature or fi...

    Authors: Jianming Zhang, Hehua Liu, Yaoqi He, Li-Dan Kuang and Xi Chen
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:4
  28. The paper presents a novel approach for designing the CNN structure of improved generalization capability in the presence of a small population of learning data. Unlike the classical methods for building CNN, ...

    Authors: Bartosz Swiderski, Stanislaw Osowski, Grzegorz Gwardys, Jaroslaw Kurek, Monika Slowinska and Iwona Lugowska
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:3
  29. Examining the authenticity of images has become increasingly important as manipulation tools become more accessible and advanced. Recent work has shown that while CNN-based image manipulation detectors can suc...

    Authors: Hailey Joren, Otkrist Gupta and Dan Raviv
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:2

    The Correction to this article has been published in EURASIP Journal on Image and Video Processing 2023 2023:10

  30. With the growing demand for image and video-based applications, the requirements of consistent quality assessment metrics of image and video have increased. Different approaches have been proposed in the liter...

    Authors: Shahi Dost, Faryal Saud, Maham Shabbir, Muhammad Gufran Khan, Muhammad Shahid and Benny Lovstrom
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:1

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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.