Artículos de revistas sobre el tema "Lowlight Restored Image Quality"
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Refhiansyah, Anggie Irfhan, Didi Suhaedi y Yurika Permanasari. "Penggunaan Topsis untuk Menentukan Exposure Terbaik pada Kamera yang Memiliki Sensor M4/3". Bandung Conference Series: Mathematics 1, n.º 1 (7 de diciembre de 2021): 1–6. http://dx.doi.org/10.29313/bcsm.v1i1.12.
Texto completoNhu. "PARAMETRIC BLIND-DECONVOLUTION METHOD TO REMOVE IMAGE ARTIFACTS IN WAVEFRONT CODING IMAGING SYSTEMS". Journal of Military Science and Technology, n.º 72A (10 de mayo de 2021): 62–68. http://dx.doi.org/10.54939/1859-1043.j.mst.72a.2021.62-68.
Texto completoSun, Guoxin, Xiong Yan, Huizhe Wang, Fei Li, Rui Yang, Jing Xu, Xin Liu, Xiaomao Li y Xiao Zou. "Color restoration based on digital pathology image". PLOS ONE 18, n.º 6 (28 de junio de 2023): e0287704. http://dx.doi.org/10.1371/journal.pone.0287704.
Texto completoZhang, Hua, Yi Kai Shi, Kui Dong Huang y Qing Chao Yu. "Image Restoration Method Based on Pre-Filtering for Cone-Beam Computed Tomography". Applied Mechanics and Materials 229-231 (noviembre de 2012): 1858–61. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.1858.
Texto completoXie, Wang y Li. "A Fragile Watermark Scheme for Image Recovery Based on Singular Value Decomposition, Edge Detection and Median Filter". Applied Sciences 9, n.º 15 (26 de julio de 2019): 3020. http://dx.doi.org/10.3390/app9153020.
Texto completoIrshad, Muhammad, Camilo Sanchez-Ferreira, Sana Alamgeer, Carlos H. Llanos y Mylène C. Q. Farias. "No-reference Image Quality Assessment of Underwater Images Using Multi-Scale Salient Local Binary Patterns". Electronic Imaging 2021, n.º 9 (18 de enero de 2021): 265–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-265.
Texto completoRezgui, Hicham, Messaoud Maouni, Mohammed Lakhdar Hadji y Ghassen Touil. "Three robust edges stopping functions for image denoising". Boletim da Sociedade Paranaense de Matemática 40 (20 de enero de 2022): 1–12. http://dx.doi.org/10.5269/bspm.45945.
Texto completoShemiakina, Julia, Elena Limonova, Natalya Skoryukina, Vladimir V. Arlazarov y Dmitry P. Nikolaev. "A Method of Image Quality Assessment for Text Recognition on Camera-Captured and Projectively Distorted Documents". Mathematics 9, n.º 17 (3 de septiembre de 2021): 2155. http://dx.doi.org/10.3390/math9172155.
Texto completoWang, Huai Sheng. "A No Interference Optical Image Encryption by a Fresnel Diffraction and a Fourier Transformation". Advanced Materials Research 459 (enero de 2012): 461–64. http://dx.doi.org/10.4028/www.scientific.net/amr.459.461.
Texto completoWieslander, Håkan, Carolina Wählby y Ida-Maria Sintorn. "TEM image restoration from fast image streams". PLOS ONE 16, n.º 2 (1 de febrero de 2021): e0246336. http://dx.doi.org/10.1371/journal.pone.0246336.
Texto completoZhu, Xifang, Ruxi Xiang, Feng Wu y Xiaoyan Jiang. "Single image haze removal based on fusion darkness channel prior". Modern Physics Letters B 31, n.º 19-21 (27 de julio de 2017): 1740037. http://dx.doi.org/10.1142/s0217984917400371.
Texto completoKaram, Ghada Sabah. "Blurred Image Restoration with Unknown Point Spread Function". Al-Mustansiriyah Journal of Science 29, n.º 1 (31 de octubre de 2018): 189. http://dx.doi.org/10.23851/mjs.v29i1.335.
Texto completoКотов, Денис. "КРИТЕРІАЛЬНІ ПОКАЗНИКИ ЯКОСТІ ОБРОБКИ МУЛЬТИСЕНСОРНОЇ ІНФОРМАЦІЇ В УМОВАХ ДЕСТАБІЛІЗУЮЧИХ ВПЛИВІВ". Collection of scientific works of Odesa Military Academy, n.º 18 (3 de marzo de 2023): 119–26. http://dx.doi.org/10.37129/2313-7509.2022.18.119-126.
Texto completoLiao, Qingtao. "Research on Medical Image Denoising Algorithm Based on Deep Learning Image Quality Evaluation". Journal of Medical Imaging and Health Informatics 11, n.º 5 (1 de mayo de 2021): 1384–93. http://dx.doi.org/10.1166/jmihi.2021.3387.
Texto completoMansoori, M. A., M. R. Mosavi y M. H. Bisjerdi. "Regularization-Based Semi-Blind Image Deconvolution Using an Improved Function for PMMW Images Application". Journal of Circuits, Systems and Computers 27, n.º 07 (26 de marzo de 2018): 1850107. http://dx.doi.org/10.1142/s0218126618501074.
Texto completoBalakin, D. A., A. V. Belinsky y A. S. Chirkin. "Correlations of Multiplexed Quantum Ghost Images and Improvement of the Quality of Restored Image". Journal of Russian Laser Research 38, n.º 2 (marzo de 2017): 164–72. http://dx.doi.org/10.1007/s10946-017-9630-z.
Texto completoRaihan A, Jarina, Pg Abas y Liyanage De Silva. "Role of Restored Underwater Images in Underwater Imaging Applications". Applied System Innovation 4, n.º 4 (25 de noviembre de 2021): 96. http://dx.doi.org/10.3390/asi4040096.
Texto completoWang, Kun Ling. "The Image Restoration Method Based on Patch Sparsity Propagation in Big Data Environment". Journal of Advanced Computational Intelligence and Intelligent Informatics 22, n.º 7 (20 de noviembre de 2018): 1072–76. http://dx.doi.org/10.20965/jaciii.2018.p1072.
Texto completoWang, Zhiyu, Jiayan Zhuang, Sichao Ye, Ningyuan Xu, Jiangjian Xiao y Chengbin Peng. "Image Restoration Quality Assessment Based on Regional Differential Information Entropy". Entropy 25, n.º 1 (10 de enero de 2023): 144. http://dx.doi.org/10.3390/e25010144.
Texto completoWang, Shuai, Huiqin Rong, Chunyuan He, Libo Zhong y Changhui Rao. "Multiframe Correction Blind Deconvolution for Solar Image Restoration". Publications of the Astronomical Society of the Pacific 134, n.º 1036 (1 de junio de 2022): 064502. http://dx.doi.org/10.1088/1538-3873/ac6445.
Texto completoSai, S. V. "A method for assessing photorealistic image quality with high resolution". Computer Optics 46, n.º 1 (febrero de 2022): 121–29. http://dx.doi.org/10.18287/2412-6179-co-899.
Texto completoWang, Jiefei, Yupeng Chen, Tao Li, Jian Lu y Lixin Shen. "A Residual-Based Kernel Regression Method for Image Denoising". Mathematical Problems in Engineering 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/5245948.
Texto completoJiao, Qingliang, Ming Liu, Pengyu Li, Liquan Dong, Mei Hui, Lingqin Kong y Yuejin Zhao. "Underwater Image Restoration via Non-Convex Non-Smooth Variation and Thermal Exchange Optimization". Journal of Marine Science and Engineering 9, n.º 6 (25 de mayo de 2021): 570. http://dx.doi.org/10.3390/jmse9060570.
Texto completoBavrina, A. Y. y V. A. Fedoseev. "Semi-fragile watermarking with recovery capabilities for HGI compression method". Computer Optics 46, n.º 1 (febrero de 2022): 103–12. http://dx.doi.org/10.18287/2412-6179-co-1021.
Texto completoKinge, Sanjaykumar, B. Sheela Rani y Mukul Sutaone. "Restored texture segmentation using Markov random fields". Mathematical Biosciences and Engineering 20, n.º 6 (2023): 10063–89. http://dx.doi.org/10.3934/mbe.2023442.
Texto completoRuikar, Dr Sachin D. y Ms Vrushali N. Raut. "A Comparison of Filtering Techniques for Image Quality Improvement in Computed Tomography". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 7, n.º 3 (10 de junio de 2013): 670–76. http://dx.doi.org/10.24297/ijct.v7i3.3445.
Texto completoYue, Ronggang, Humei Wang, Ting Jin, Yuting Gao, Xiaofeng Sun, Tingfei Yan, Jie Zang, Ke Yin y Shitao Wang. "Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser". Sensors 21, n.º 10 (11 de mayo de 2021): 3309. http://dx.doi.org/10.3390/s21103309.
Texto completoSaleem, Shahid, Shahbaz Ahmad y Junseok Kim. "Total Fractional-Order Variation-Based Constraint Image Deblurring Problem". Mathematics 11, n.º 13 (26 de junio de 2023): 2869. http://dx.doi.org/10.3390/math11132869.
Texto completoÁvila, Francisco J., Jorge Ares, María C. Marcellán, María V. Collados y Laura Remón. "Iterative-Trained Semi-Blind Deconvolution Algorithm to Compensate Straylight in Retinal Images". Journal of Imaging 7, n.º 4 (16 de abril de 2021): 73. http://dx.doi.org/10.3390/jimaging7040073.
Texto completoGao, Yakun, Haibin Li y Shuhuan Wen. "Restoration and Enhancement of Underwater Images Based on Bright Channel Prior". Mathematical Problems in Engineering 2016 (2016): 1–15. http://dx.doi.org/10.1155/2016/3141478.
Texto completoKefer, Paul, Fadil Iqbal, Maelle Locatelli, Josh Lawrimore, Mengdi Zhang, Kerry Bloom, Keith Bonin, Pierre-Alexandre Vidi y Jing Liu. "Performance of deep learning restoration methods for the extraction of particle dynamics in noisy microscopy image sequences". Molecular Biology of the Cell 32, n.º 9 (19 de abril de 2021): 903–14. http://dx.doi.org/10.1091/mbc.e20-11-0689.
Texto completoKim, Jinah, Dong Huh, Taekyung Kim, Jaeil Kim, Jeseon Yoo y Jae-Seol Shim. "Raindrop-Aware GAN: Unsupervised Learning for Raindrop-Contaminated Coastal Video Enhancement". Remote Sensing 12, n.º 20 (21 de octubre de 2020): 3461. http://dx.doi.org/10.3390/rs12203461.
Texto completoPan, I.-Hui, Ping-Sheng Huang, Te-Jen Chang y Hsiang-Hsiung Chen. "Multilayer Reversible Information Hiding with Prediction-Error Expansion and Dynamic Threshold Analysis". Sensors 22, n.º 13 (28 de junio de 2022): 4872. http://dx.doi.org/10.3390/s22134872.
Texto completoDoriguêtto, Paulo Victor Teixeira, Daniela de Almeida, Carolina Oliveira de Lima, Ricardo Tadeu Lopes y Karina Lopes Devito. "Assessment of marginal gaps and image quality of crowns made of two different restorative materials: An in vitro study using CBCT images". Journal of Dental Research, Dental Clinics, Dental Prospects 16, n.º 4 (30 de diciembre de 2022): 243–50. http://dx.doi.org/10.34172/joddd.2022.039.
Texto completoLiu, Yiming, Jianping Guo, Sen Yang, Ting Liu, Hualing Zhou, Mengzi Liang, Xi Li y Dahong Xu. "Frequency Disentanglement Distillation Image Deblurring Network". Sensors 21, n.º 14 (9 de julio de 2021): 4702. http://dx.doi.org/10.3390/s21144702.
Texto completoPrakash, Anju J. y Ferdinand Christopher. "An Enhanced Image Dehazing Method for the Application in Urban Computing". Journal of Computational and Theoretical Nanoscience 16, n.º 2 (1 de febrero de 2019): 793–98. http://dx.doi.org/10.1166/jctn.2019.7811.
Texto completoLi, Wenxia, Chi Lin, Ting Luo, Hong Li, Haiyong Xu y Lihong Wang. "Subjective and Objective Quality Evaluation for Underwater Image Enhancement and Restoration". Symmetry 14, n.º 3 (10 de marzo de 2022): 558. http://dx.doi.org/10.3390/sym14030558.
Texto completoGong, Jun, Senlin Luo, Wenxin Yu y Liang Nie. "Inpainting with Separable Mask Update Convolution Network". Sensors 23, n.º 15 (26 de julio de 2023): 6689. http://dx.doi.org/10.3390/s23156689.
Texto completoChung, Minkyung, Minyoung Jung y Yongil Kim. "Enhancing Remote Sensing Image Super-Resolution Guided by Bicubic-Downsampled Low-Resolution Image". Remote Sensing 15, n.º 13 (28 de junio de 2023): 3309. http://dx.doi.org/10.3390/rs15133309.
Texto completoSun, Wei, Jianli Wu y Haroon Rashid. "Image Enhancement Algorithm of Foggy Sky with Sky based on Sky Segmentation". Journal of Physics: Conference Series 2560, n.º 1 (1 de agosto de 2023): 012011. http://dx.doi.org/10.1088/1742-6596/2560/1/012011.
Texto completoNallasivam, Manikandaprabu, Femi D y Raja Paulsingh J. "Histogram Based Optimized Reversible Steganographic Scheme". ECS Transactions 107, n.º 1 (24 de abril de 2022): 19089–97. http://dx.doi.org/10.1149/10701.19089ecst.
Texto completoKim, Gyuho, Jung Gon Kim, Kitaek Kang y Woo Sik Yoo. "Image-Based Quantitative Analysis of Foxing Stains on Old Printed Paper Documents". Heritage 2, n.º 3 (18 de septiembre de 2019): 2665–77. http://dx.doi.org/10.3390/heritage2030164.
Texto completoLiu, Jin-Jun, Qi-Hang Shi, Jian Zhao, Zhi-Hui Lai y Lei-Lei Li. "Noisy Low-Illumination Image Enhancement Based on Parallel Duffing Oscillator and IMOGOA". Mathematical Problems in Engineering 2022 (20 de septiembre de 2022): 1–14. http://dx.doi.org/10.1155/2022/3903453.
Texto completoMori, Mio, Tomoyuki Fujioka, Mayumi Hara, Leona Katsuta, Yuka Yashima, Emi Yamaga, Ken Yamagiwa et al. "Deep Learning-Based Image Quality Improvement in Digital Positron Emission Tomography for Breast Cancer". Diagnostics 13, n.º 4 (20 de febrero de 2023): 794. http://dx.doi.org/10.3390/diagnostics13040794.
Texto completoLi, Zhixin, Degang Kong y Yongchun Zheng. "Artificial Intelligence Registration of Image Series Based on Multiple Features". Traitement du Signal 39, n.º 1 (28 de febrero de 2022): 221–27. http://dx.doi.org/10.18280/ts.390122.
Texto completoYe, G., J. Pan, M. Wang, Y. Zhu y S. Jin. "ANALYSIS: IMPACT OF IMAGE MATCHING METHODS ON JITTER COMPENSATION". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (17 de mayo de 2022): 611–18. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-611-2022.
Texto completoLin, Tzu-Chao y Pao-Ta Yu. "Adaptive Two-Pass Median Filter Based on Support Vector Machines for Image Restoration". Neural Computation 16, n.º 2 (1 de febrero de 2004): 333–54. http://dx.doi.org/10.1162/neco.2004.16.2.333.
Texto completoLv, Guomian, Hao Xu, Huajun Feng, Zhihai Xu, Hao Zhou, Qi Li y Yueting Chen. "A Full-Aperture Image Synthesis Method for the Rotating Rectangular Aperture System Using Fourier Spectrum Restoration". Photonics 8, n.º 11 (22 de noviembre de 2021): 522. http://dx.doi.org/10.3390/photonics8110522.
Texto completoXue, Hong Ye y Wei Li Ma. "Research on Image Restoration Algorithm Base on ACO-BP Neural Network". Key Engineering Materials 460-461 (enero de 2011): 136–41. http://dx.doi.org/10.4028/www.scientific.net/kem.460-461.136.
Texto completoAbdulwahab Farajalla Ali, Nawafil, Imad Fakhri Taha Al-Shaikhli y Raini Hasan. "Detection And Restoration of Cracked Digitized Paintings and Manuscripts Using Image Processing". International Journal of Engineering & Technology 7, n.º 2.34 (8 de junio de 2018): 39. http://dx.doi.org/10.14419/ijet.v7i2.34.13907.
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