Retinex-Net mine image enhancement algorithm based on adaptive illumination estimation by Feng TIAN, Tingting CHEN, Xiaopei LIU

“…In order to address the issues of low local brightness and the loss of detail features in underground images under non-uniform illumination, an improved Retinex-Net underground image enhancement algorithm based on adaptive estimation has been proposed. …”
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Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm by Rana Al-Rawashdeh, Md Mahfuzur Rahman, Mahmood Niazi

“…In this research, a new framework is proposed that integrates the edge detection strategy (using edge detectors) with the deep learning methods, such as a convolutional neural network (CNN), for making secret data embedding and extraction processes efficient. Firstly, the edges in the cover image are identified using a suitable edge detection method (i.e., using the canny or sobel algorithm), and then the secret data is embedded inside the edge-detected cover image using a deep learning approach, and finally, the created stego image is sent to the receiver. …”
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Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

“…In recent years, cardiac medical image segmentation using the variational level-set method has been widely applied in image processing. …”
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Research on algorithm for improving imaging accuracy of CFRP low speed impact damage by WU Xiangnan, CHENG Xiaojin, LI Qixin, SHANG Jianhua

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Multiple image encryption algorithm using channel randomization and multiple chaotic maps by Khalid M. Hosny, Yasmin M. Elnabawy, Rania A. Salama, Ahmed M. Elshewey

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ISAR High Resolution Imaging Algorithm Based on Weighted Adaptive Mixed Norm by Q. Zhang, Q. Q. Chen, G. Xu, J. R. Chi

“…Meanwhile, the weight coefficients in this improved model can be iteratively updated in each cycle to improve the image reconstruction accuracy. The optimization model takes advantage of mixed norm to achieve fast convergence in the operation, and adopts conjugate gradient descent method and fast Fourier transform operation in the solution, which simplifies the solving process of the optimization problem and improves the operation efficiency of the algorithm. …”
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Curvelet Transform Based Compression Algorithm for Low Resource Hyperspectral Image Sensors by Shrish Bajpai, Divya Sharma, Monauwer Alam, Vishal Singh Chandel, Amit Kumar Pandey, Suman Lata Tripathi

“…However, transform based hyperspectral image compression algorithm (HSICA) has low-coding gain than the other state of art HSIC algorithms. …”
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An ultraviolet image enhancement algorithm in Curvelet domain based on human visual characteristics by Bin ZHANG, Peng,YUANJie WU, Lingqing SUN, Qiming FU, Yongze ZHANG, Yu LU

“…Aiming at the characteristics such as low contrast,unclear imaging,over-dark or over-bright overall imaging and noise interference in ultraviolet image itself,a Curvelet domain ultraviolet image enhancement algorithm was proposed based on the masking characteristics of human vision.Firstly,the ultraviolet image information was decomposed to different scales and direction sub-bands by Curvelet transform.Secondly,the HVS model was established according to each sub-band,and with its masking characteristics,the nonlinear gain of the high frequency component was used to improve the image contrast.Meanwhile,the low frequency component of nonlinear grayscale stretching could improve the overall brightness of the image.Finally,the processed high and low frequency components were reconstructed by Curvelet backward to obtain enhanced ultraviolet images.The experimental results show that the enhanced image accords with the extraction of image information from human vision and highlights the contour information of edge and target.In addition,it has obvious effect in subjective vision and quantitative index.…”
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Research on Digital Image Watermarking Algorithm Based on Scrambling and Singular Value Decomposition by Lei Pei

“…At present, the digital image watermarking algorithm has not embedded the synchronization signal in the image, resulting in the poor performance of the embedded image in terms of, for example, imperceptibility, anti-attack ability, and robustness. …”
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Estimating coffee crop parameters through multispectral imaging and machine learning algorithms by F. V. Pereira, V. S. W. Orlando, G. D. Martins, B. S. Vieira, E. S. Nascimento, A. B. Marra, M. D. L. B. T. Galo

“…This study evaluates different machine learning algorithms, using radiometric values from multispectral images obtained by remote sensing platforms as input datasets for estimating plant height and canopy diameter in coffee cultivation. …”
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A Resolution-Improving Method for Multiband Imaging Based on an Extrapolated RELAX Algorithm by Jiajie Huang, Wen Jiang, Jianwei Liu, Qinyu Xie, Wangzhe Li

“…A resolution-improving method for multiband imaging based on an extrapolated RELAX algorithm (ERA) is proposed. …”
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Multimodal Fusion Image Stabilization Algorithm for Bio-Inspired Flapping-Wing Aircraft by Zhikai Wang, Sen Wang, Yiwen Hu, Yangfan Zhou, Na Li, Xiaofeng Zhang

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A laboratory feasibility study using a computer algorithm for anastomosis segmentation of epicardial ultrasonography images from distal coronary artery bypass anastomoses by Alex Skovsbo Jørgensen, Martin Siemienski Andersen, Lasse Riis Østergaard, Samuel Emil Schmidt, Dorte Nøhr, Jan Jesper Andreasen

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Automated weed and crop recognition and classification model using deep transfer learning with optimization algorithm by K. Gopalakrishnan, R. Sivaraj, M. Vijayakumar

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Image Processing Method Based on Chaotic Encryption and Wavelet Transform for Planar Design by Yiying Liu, Young Chun Ko

“…This paper provides an in-depth study and analysis of image processing for graphic design through chaotic encryption combined with a wavelet transform algorithm. …”
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TOPOLOGICAL IMAGE PROCESSING FOR COMPREHENSIVE DEFECT AND DEVIATION ANALYSIS USING ADAPTIVE BINARISATION by Igor Badanyuk, Igor Nevliudov, Dmytro Nikitin

“…Results: an image processing algorithm with automatic adjustment of the "Block size" binarisation window was implemented and tested; software was developed using the proposed algorithm and the performance of global binarisation with an improved method of finding the "Block size" values for scanning an image in processing small elements of the SE topology was compared. …”
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Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network by Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola

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Measurement of Sea Surface Characteristics from Radar Images Using Gradient Methods by K. Yu. Laptev, N. V. Sokolov, V. N. Mikhailov, M. I. Bogachev, E. N. Vorobev

“…The implemented methods and algorithms for assessing the speed and direction of sea waves were validated using two experimental image series obtained from shipborne navigational radars.…”
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Second-Order Intensity-Correlated Imaging Through the Scattering Medium by Zhan Lei, Chunfang Wang, Dawei Zhang, Luxiao Wang, Wenlin Gong

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Unsupervised person re‐identification based on adaptive information supplementation and foreground enhancement by Qiang Wang, Zhihong Huang, Huijie Fan, Shengpeng Fu, Yandong Tang

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