A Novel Approach for Enhancing QoS for Visualization of High Dynamic Range Imaging
暂无分享,去创建一个
[1] Sumit Mittal,et al. An Enhanced Adaptive Histogram Equalization Based Local Contrast Preserving Technique for HDR Images , 2021 .
[2] Weizheng Jin,et al. Explicit-implicit dual stream network for image quality assessment , 2020, EURASIP J. Image Video Process..
[3] An Advanced Multi-Exposure Image Fusion Technique To Enhance The QoS for HDR Images , 2020, International Journal of Advanced Trends in Computer Science and Engineering.
[4] Chang Tang,et al. No-reference stereoscopic image quality evaluator with segmented monocular features and perceptual binocular features , 2020, Neurocomputing.
[5] K. Dar,et al. A Dynamic Fuzzy Histogram Equalization for High Dynamic Range Images by Using Multi-Scale Retinex Algorithm , 2020 .
[6] Chunping Hou,et al. Feature-segmentation strategy based convolutional neural network for no-reference image quality assessment , 2020, Multimedia tools and applications.
[7] Jie Gu,et al. Blind image quality assessment via learnable attention-based pooling , 2019, Pattern Recognit..
[8] Kai-Kuang Ma,et al. Predictor-corrector image interpolation , 2019, J. Vis. Commun. Image Represent..
[9] Lai-Man Po,et al. A Novel Patch Variance Biased Convolutional Neural Network for No-Reference Image Quality Assessment , 2019, IEEE Transactions on Circuits and Systems for Video Technology.
[10] Guangming Shi,et al. Blind image quality assessment with semantic information , 2019, J. Vis. Commun. Image Represent..
[11] Guoqing Hu,et al. Correlation Filter Based Moving Object Tracking With Scale Adaptation and Online Re-Detection , 2018, IEEE Access.
[12] Qi Tian,et al. Blind image quality prediction by exploiting multi-level deep representations , 2018, Pattern Recognit..
[13] Sukadev Meher,et al. Adaptive spatio-temporal background subtraction using improved Wronskian change detection scheme in Gaussian mixture model framework , 2018, IET Image Process..
[14] Kwan-Yee Lin,et al. Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[15] Paolo Napoletano,et al. On the use of deep learning for blind image quality assessment , 2016, Signal Image Video Process..
[16] Xiaochun Cao,et al. Visual Object Tracking With Partition Loss Schemes , 2017, IEEE Transactions on Intelligent Transportation Systems.
[17] Ting Luo,et al. Blind 3D image quality assessment based on self-similarity of binocular features , 2017, Neurocomputing.
[18] Sebastian Bosse,et al. A deep neural network for image quality assessment , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[19] Wujie Zhou,et al. Binocular Responses for No-Reference 3D Image Quality Assessment , 2016, IEEE Transactions on Multimedia.
[20] Qingjie Zhao,et al. Blind image quality assessment by relative gradient statistics and adaboosting neural network , 2016, Signal Process. Image Commun..
[21] Sukadev Meher,et al. Detection of Moving Objects Using Fuzzy Color Difference Histogram Based Background Subtraction , 2016, IEEE Signal Processing Letters.
[22] Lei Zhang,et al. A Feature-Enriched Completely Blind Image Quality Evaluator , 2015, IEEE Transactions on Image Processing.
[23] Lei Zhang,et al. Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features , 2014, IEEE Transactions on Image Processing.
[24] Vittoria Bruni,et al. An Improvement of Kernel-Based Object Tracking Based on Human Perception , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[25] Yi Li,et al. Convolutional Neural Networks for No-Reference Image Quality Assessment , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[26] Tolga Tasdizen,et al. Multi-Class Multi-Scale Series Contextual Model for Image Segmentation , 2013, IEEE Transactions on Image Processing.
[27] Do-Kyoung Kwon,et al. Full-reference quality assessment of stereopairs accounting for rivalry , 2013, Signal Process. Image Commun..
[28] Alan C. Bovik,et al. No-Reference Image Quality Assessment in the Spatial Domain , 2012, IEEE Transactions on Image Processing.
[29] Christophe Charrier,et al. Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain , 2012, IEEE Transactions on Image Processing.
[30] Christophe Charrier,et al. DCT statistics model-based blind image quality assessment , 2011, 2011 18th IEEE International Conference on Image Processing.
[31] Alan C. Bovik,et al. Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality , 2011, IEEE Transactions on Image Processing.
[32] Michael R. Pointer,et al. Recent Progress with Extensions to CIECAM02 , 2009, Color Imaging Conference.
[33] Michael H. Brill,et al. Repairing gamut problems in CIECAM02: A progress report , 2008 .
[34] Shen Lan-sun,et al. Color Cast Detection and Color Correction Methods Based on Image Analysis , 2008 .
[35] Michael H. Brill,et al. Irregularity in CIECAM02 and its avoidance , 2006 .