Hou, Yingkun Shen, Dinggang
Published in
EURASIP Journal on Image and Video Processing
BM3D is a state-of-the-art image denoising method. Its denoised results in the regions with strong edges can often be better than in the regions with smooth or weak edges, due to more accurate block-matching for the strong-edge regions. So using adaptive block sizes on different image regions may result in better image denoising. Based on these obs...
Swiderski, Bartosz Osowski, Stanislaw Gwardys, Grzegorz Kurek, Jaroslaw Slowinska, Monika Lugowska, Iwona
Published in
EURASIP Journal on Image and Video Processing
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, we propose to introduce some randomness in the choice of layers with a different type of nonlinear activation function. The image processing ...
James, Hailey Gupta, Otkrist Raviv, Dan
Published in
EURASIP Journal on Image and Video Processing
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 successfully identify manipulations, they are also vulnerable to adversarial attacks, ranging from simple double JPEG compression to advanced pi...
Dost, Shahi Saud, Faryal Shabbir, Maham Khan, Muhammad Gufran Shahid, Muhammad Lovstrom, Benny
Published in
EURASIP Journal on Image and Video Processing
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 literature to estimate the perceptual quality of images and videos. These approaches can be divided into three main categories; full reference (FR...
Kim, Jin Su Kim, Min-Gu Pan, Sung Bum
Published in
EURASIP Journal on Image and Video Processing
Conventional surveillance systems for preventing accidents and incidents do not identify 95% thereof after 22 min when one person monitors a plurality of closed circuit televisions (CCTV). To address this issue, while computer-based intelligent video surveillance systems have been studied to notify users of abnormal situations when they happen, it ...
Ma, Qiang Xing, Ling
Published in
EURASIP Journal on Image and Video Processing
Perceptual video hashing represents video perceptual content by compact hash. The binary hash is sensitive to content distortion manipulations, but robust to perceptual content preserving operations. Currently, boundary between sensitivity and robustness is often ambiguous and it is decided by an empirically defined threshold. This may result in la...
Zhu, Ling Zhu, Hongqing Yang, Suyi Wang, Pengyu Yu, Yang
Published in
EURASIP Journal on Image and Video Processing
Accurate segmentation and classification of pulmonary nodules are of great significance to early detection and diagnosis of lung diseases, which can reduce the risk of developing lung cancer and improve patient survival rate. In this paper, we propose an effective network for pulmonary nodule segmentation and classification at one time based on adv...
Tian, Yuanyuan Cao, Jingyu
Published in
EURASIP Journal on Image and Video Processing
To accurately identify fatigued driving, establishing a monitoring system is one of the important guarantees of improving traffic safety and reducing traffic accidents. Among many research methods, electrooculogram signal (EOG) has unique advantages. This paper presents a systematic literature review of these technologies and summarizes a basic fra...
Sanchez-Matilla, Ricardo Cavallaro, Andrea
Published in
EURASIP Journal on Image and Video Processing
Out-of-home audience measurement aims to count and characterize the people exposed to advertising content in the physical world. While audience measurement solutions based on computer vision are of increasing interest, no commonly accepted benchmark exists to evaluate and compare their performance. In this paper, we propose the first benchmark for ...
Yu, Lifang Cao, Gang Tian, Huawei Cao, Peng Zhang, Zhenzhen Shi, Yun Q.
Published in
EURASIP Journal on Image and Video Processing
Quick Response (QR) codes are designed for information storage and high-speed reading applications. To store additional information, Two-Level QR (2LQR) codes replace black modules in standard QR codes with specific texture patterns. When the 2LQR code is printed, texture patterns are blurred and their sizes are smaller than0.5cm2\documentclass[12p...
