A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification by Jaouad El Gueri, Ibtisam Amdaouch, Badiaa Ait Ahmed, Juan Ruiz-Alzola, Otman Aghzout

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Application of microscopic image processing and artificial intelligence detecting and classifying the spores of three novel species of Trichoderma by Fatemeh Soltani Nezhad, Kamran Rahnama, Seyed Mohamad Javidan, Keyvan Asefpour Vakilian

“…In this study, a microscopic image dataset has been developed, followed by identifying and classifying the spores of three Trichoderma species including T. harzianum, T. atroviride, and T. virens using microscopic image processing techniques. …”
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An Advanced Whale Optimization Algorithm for Grayscale Image Enhancement by Yibo Han, Pei Hu, Zihan Su, Lu Liu, John Panneerselvam

“…Image enhancement is an important step in image processing to improve contrast and information quality. …”
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Evaluation of Image Processing Technique on Quality Properties of Chickpea Seeds (Cicer arietinum L.) Using Machine Learning Algorithms by Halil Kırnak, Necati Çetin, İhsan Serkan Varol

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RETRACTED ARTICLE: Image Processing Algorithm for Mechanical Properties Testing of High-Temperature Materials Based on Time-Frequency Analysis by Dong Sun, Yong Wei

“…We, the Editor and Publisher of the Journal Of Experimental Nanoscience, have retracted the following article, which is part of the Special Issue titled Adaptive Nanotechnology for Environmental Sustainability:Dong Sun & Yong Wei (2023) Image processing algorithm for mechanical properties testing of hightemperature materials based on time‐frequency analysis, Journal of Experimental Nanoscience, 18:1, DOI: 10.1080/17458080.2023.2170357Following publication, concerns were raised about the peer review and decision‐making processes for this special issue.After an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor‐in‐Chief, it was confirmed that the article was not reviewed appropriately, in line with the Journal’s peer review standards and policy.As the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract the article. …”
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AN ALGORITHM FOR ASSEMBLING A COMMON IMAGE OF VLSI LAYOUT by Y. Y. Lankevich

“…We realize algorithms and programs for assembling a common image of VLSI layout. …”
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Image Segmentation Based on World Cup Optimization Algorithm by Mohsen Shahrezaee

“…Image segmentation has been widely used in different applications of the image processing. …”
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Research on Compressed Multiscale Retinex Image Enhancement Algorithms by LIU Mingzhu, SU Taoyu, WANG Yining

“…The Retinex algorithm for face image illumination compensation and color restoration is an effective one in the traditional image enhancement algorithm under the condition of low illumination The traditional MSRCR algorithm can still produce some problems such as low sharpness, blurred details and incomplete color after image processing Therefore, this paper proposes a compression expansion multiscale Retinex algorithm with color recoveryCMSRCR, which uses multicolor channel bending transformation function and factor correction method to enhance and restore lowillumination face images The results show that the CMSRCR algorithm can improve the sharpness, detail and color restoration of low illumination image…”
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Image denoising algorithm based on multi-channel GAN by Hongyan WANG, Xiao YANG, Yanchao JIANG, Zumin WANG

“…Aiming at the issue that the noise generated during image acquisition and transmission would degrade the ability of subsequent image processing, a generative adversarial network (GAN) based multi-channel image denoising algorithm was developed.The noisy color image could be separated into red-green-blue (RGB) three channels via the proposed approach, and then the denoising could be implemented in each channel on the basis of an end-to-end trainable GAN with the same architecture.The generator module of GAN was constructed based on the U-net derivative network and residual blocks such that the high-level feature information could be extracted effectively via referring to the low-level feature information to avoid the loss of the detail information.In the meantime, the discriminator module could be demonstrated on the basis of fully convolutional neural network such that the pixel-level classification could be achieved to improve the discrimination accuracy.Besides, in order to improve the denoising ability and retain the image detail as much as possible, the composite loss function could be depicted by the illustrated denoising network based on the following three loss measures, adversarial loss, visual perception loss, and mean square error (MSE).Finally, the resultant three-channel output information could be fused by exploiting the arithmetic mean method to obtain the final denoised image.Compared with the state-of-the-art algorithms, experimental results show that the proposed algorithm can remove the image noise effectively and restore the original image details considerably.…”
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Prediction of Chlorophyll-a Concentration Distribution Using Generative Adversarial Network (GAN) Algorithm on Processed Remote Sensing Images by Wattaqwa Amira Zul’Ilmi, Jaya Indra, Iqbal Muhammad

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Digital processing of images of nano-dimensional elements on nanostructured material surface using the ImageJ software by H. T. Dinh, N. V. Lushpa, K. V. Chernyakova, I. A. Vrublevsky

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Retracted: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology by Xinghuo Ye, Qianyi Wang

“…Image segmentation is a key technology in the field of computer image processing. …”
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Automatic Evaluation Algorithms for Radio Tomography Imaging Methods by Krzysztof Strzecha, Grzegorz Rybak

“…The novelty of this paper includes the flexible architecture of an evaluation platform for RTI image reconstruction algorithms, as well as an automated evaluation process. …”
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IMAGING ALGORITHMS FOR OCCLUSIVE CAROTID DISEASE IN TREATMENT STRATEGY by M. V. Vishnyakova

“…Objective – to optimize imaging algorithms of preoperative evaluation and postoperative changes and complications in patients with occlusive carotid disease.Material and methods. …”
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An artifactual fibre overlap removal algorithm for micro-computed tomography image post-processing and 3D microstructure generation with graphics processing unit acceleration by Yuheng Zhou, Zhengshu Yan, Pascal Hubert

“…A novel algorithm based on radial basis functions is proposed for the removal of artifactual fibre overlap within fibre structures extracted from micro-computed tomography (micro-CT) images of fibre reinforced polymer matrix composites. …”
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Three-Way Clustering Based on Digital Image Processing by Xiangjian Chen, Pingxin Wang

“…A three-way clustering algorithm based on image processing is proposed by combining blurring and sharpening operations in digital image processing. …”
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Guide Robot Based on Image Processing and Path Planning by Chen-Hsien Yang, Jih-Gau Juang

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Application of Image Processing Technology in Aerobics Injury Diagnosis by Duo Zhang, Yan Tian

“…Firstly, the algorithm formula of image processing technology is given, and then the algorithm is introduced into the dynamic analysis of aerobics injury diagnosis. …”
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Super‐resolution reconstruction algorithm for medical images by fusion of wavelet transform and multi‐scale adaptive feature selection by QiaoSu Wang, Qiaomei Ma

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High-Resolution Single-Pixel Imaging of Spatially Sparse Objects: Real-Time Imaging in the Near-Infrared and Visible Wavelength Ranges Enhanced with Iterative Processing or Deep Le... by Rafał Stojek, Anna Pastuszczak, Piotr Wróbel, Magdalena Cwojdzińska, Kacper Sobczak, Rafał Kotyński

“…We demonstrate high-resolution single-pixel imaging (SPI) in the visible and near-infrared wavelength ranges using an SPI framework that incorporates a novel, dedicated sampling scheme and a reconstruction algorithm optimized for the rapid imaging of highly sparse scenes at the native digital micromirror device (DMD) resolution of 1024 × 768. …”
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