Modeling an Image Clustering Algorithm For Detecting Overheated Railway Axle by Oleksandr Gertsiy, Serhii Karnatov, Vitaliy Gladish, Valentyna Tkachenko

“…Additionally, the algorithm enables image compression, which increases data processing speed and facilitates the monitoring of thermal characteristics of rolling stock at high speeds. …”
Get full text

Stolt Interpolation-Free Range Migration Algorithm for Dynamic-Aperture-Based Computational MIMO Microwave Imaging by Vasiliki Skouroliakou, Maria Garcia-Fernandez, Guillermo Alvarez-Narciandi, Simon Cotton, Okan Yurduseven

Subjects: “…Computational imaging (CI)…”
Get full text

Adversarial example defense algorithm for MNIST based on image reconstruction by Zhongyuan QIN, Zhaoxiang HE, Tao LI, Liquan CHEN

“…With the popularization of deep learning, more and more attention has been paid to its security issues.The adversarial sample is to add a small disturbance to the original image, which can cause the deep learning model to misclassify the image, which seriously affects the performance of deep learning technology.To address this challenge, the attack form and harm of the existing adversarial samples were analyzed.An adversarial examples defense method based on image reconstruction was proposed to effectively detect adversarial examples.The defense method used MNIST as the test data set.The core idea was image reconstruction, including central variance minimization and image quilting optimization.The central variance minimization was only processed for the central area of the image.The image quilting optimization incorporated the overlapping area into the patch block selection.Considered and took half the size of the patch as the overlap area.Using FGSM, BIM, DeepFool and C＆amp;W attack methods to generate adversarial samples to test the defense performance of the two methods, and compare with the existing three image reconstruction defense methods (cropping and scaling, bit depth compression and JPEG compression).The experimental results show that the central variance minimization and image quilting optimization algorithms proposed have a satisfied defense effect against the attacks of existing common adversarial samples.Image quilting optimization achieves over 75% classification accuracy for samples generated by the four attack algorithms, and the defense effect of minimizing central variance is around 70%.The three image reconstruction algorithms used for comparison have unstable defense effects on different attack algorithms, and the overall classification accuracy rate is less than 60%.The central variance minimization and image quilting optimization proposed achieve the purpose of effectively defending against adversarial samples.The experiments illustrate the defense effect of the proposed defense algorithm in different adversarial sample attack algorithms.The comparison between the reconstruction algorithm and the algorithm shows that the proposed scheme has good defense performance.…”
Get full text

High-Resolution Algorithm for Image Segmentation in the Presence of Correlated Noise by Haiping Jiang, Salah Bourennane, Caroline Fossati

Get full text

EVALUATION OF CHARACTERISTICS OF HARDWARE IMPLEMENTATION OF SOME IMAGE FILTERING ALGORITHMS by A. S. Poljakov, V. E. Samsonov

“…Processing speed and hardware requirements of two popular image filtering algorithms in hardware implementation based on microchips of FPGA type are provided. …”
Get full text

Comparative analysis of image hashing algorithms for visual object tracking by Vitalii Naumenko, Sergiy Abramov, Vladimir Lukin

“…Subject of the research – visual object tracking using various image hashing algorithms for real-time tracking tasks. …”
Get full text

SURVEY OF MACHINE LEARNING APPLICATIONS IN MEDICAL IMAGING. ALGORITHMS AND TECHNOLOGIES by Marius Eremia Vlaicu POPA, Mihai CRUCERU, Bogdan DIACONU

“…A literature survey was conducted attempting to report usage of Machine Learning (ML) algorithms in processing and interpretation of medical images (X-ray, CT scan, MRI, DEXA, etc.) for the purpose of diagnosing orthopedic disorders. …”
Get full text

The Hubble Image Similarity Project by Richard L. White, J. E. G. Peek

Get full text

Machine Learning Algorithms for Retinal Image Analysis and Glaucoma Detection by Akhter Hussain Syed, Pratap Mohanrao Mohite, Sandip Eknathrao Ingle, Mohammad Waseem Ahmed Siddiqui, Zeeshan Raziuddin Mohammed

Get full text

Adapted Single Scale Retinex Algorithm for Nighttime Image Enhancement by Mohammad Ismail, Zohair Al-Ameen

“…Therefore, it is difficult to perceive, extract, and analyze important visual information from these images, unless they were properly processed. Different algorithms exist to process nighttime images, yet most of these algorithms are highly complex, generate processing artifacts, over-smooth the images, or do not improve the illumination adequately. …”
Get full text

Image defogging algorithm based on guided filtering and adaptive tolerance by Xianli JIN, Wei ZHANG, Linfeng LIU

“…Aiming at the problem of distortion of dark channel algorithm in defogging the sky region,an improved image defogging algorithm based on the guided filtering and adaptive tolerance mechanism was proposed.Firstly,the fitted transmissivity graphs were calculated for the windows with different sizes.Then,the transmissivity was further refined by the guided filtering technique.After that,the transmissivity in sky area was revised by an adaptive tolerance mechanism.Finally,the restored image was converted from RGB space to HSV space,and thus the brightness and contrast of the images could be color compensated.Experimental results show that the proposed algorithm restores the images effectively and obtain preferable defogging results with regard to the processing of bright areas such as the sky areas.…”
Get full text

A Hyperchaotic Lorenz and DNA-Encoded Image Encryption Algorithm by Shuangyuan Li, Mengfan Li

“…Finally, DNA algorithm rules are used for diffusion processing to obtain the ciphertext image. …”
Get full text

An Enhanced Image Segmentation Technique-Based on Motion Detection Algorithm by Zaid Sh. Bakr, Hamzah M. Marhoon, Ammar Alaythawy

Get full text

Comparative Analysis of the Prox Penalty and Bregman Algorithms for Image Denoising by Soulef Bougueroua, Nourreddine Daili

“…It plays a critical role in the concept of image processing. We are looking for an image that is as near to the original as possible among images that have been skewed by Gaussian and additive noise. …”
Get full text

High resolution ISAR imaging algorithm based on compressive sensing by Shao-dong LI, Jun YANG, Xiao-yan MA

“…According to the problem that conventional imaging algorithms have some unavoidable shortcomings such as low resolution of image and being fragile to the noise with short coherent processing interval (CPI),an improved ISAR imaging algorithm via CS method,namely,PH-SL0 algorithm,was proposed.In the proposed algorithm,as a kind of measure matrix,partial randomizer Hadamard matrix (PH) has many advantages such as high reconstruction precision and low dimension of measure matrix.Meanwhile,as a reconstruction algorithm,SL0 has many advantages such as demanding fewer measurements than existing methods,having higher reconstructed accuracy and better robust.Therefore,making use of the advantages of PH and SL0,and extending them to the field of radar,the azimuth imaging with short imaging data could be implemented.Finally,simulation results and experimental results of real data show that the algorithm has higher imaging resolution and better robust to noise.…”
Get full text

Image Fusion Techniques Based on Optimization Algorithms: A Review by Anamika Goel, Javed Wasim, Prabhat Kumar Srivastava, Kanika Malik, Monika Singh

“…In image processing applications, image fusion techniques gain popularity because they combine the most appropriate features of different source images in order to generate a single image that contains more information and is more beneficial. …”
Get full text

Image fusion algorithm for the collaborative use of unmanned aerial vehicles by N. V. Levshonkov, I. M. Nafikоv, Y. V. Laryukhina

“…A fusion algorithm is proposed, which is characterized by adaptive adjustment of parameters in each frame individually for different image fragments. …”
Get full text

Cluster-Based Flight Path Construction for Drone-Assisted Pear Pollination Using RGB-D Image Processing by Arata Kuwahara, Tomotaka Kimura, Sota Okubo, Rion Yoshioka, Keita Endo, Hiroyuki Shimizu, Tomohito Shimada, Chisa Suzuki, Yoshihiro Takemura, Takefumi Hiraguri

Subjects: Get full text

An Efficient Illumination Estimation Algorithm for Low-Light Image Enhancement by Tirui Wu, Martin Glavin, Edward Jones

“…Experimental results show that the proposed method can not only retain the original input color distribution very well, but also obtain comparable image quality scores to state-of-the-art neural network-based algorithms.…”
Get full text

Algorithm of Encrypting Digital Image Using Chaos Neural Network by Ying Mao

“…This paper presents a visual image encryption algorithm based on the compressed sensing method of the Hopfield chaotic neural network. …”
Get full text