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检索条件"主题词=Convolutional sparse coding"
171 条 记 录,以下是141-150 订阅
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JOINT IMAGE SUPER-RESOLUTION VIA RECURRENT convolutional NEURAL NETWORKS WITH COUPLED sparse PRIORS
JOINT IMAGE SUPER-RESOLUTION VIA RECURRENT CONVOLUTIONAL NEU...
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IEEE International Conference on Image Processing (ICIP)
作者: Marivani, Iman Tsiligianni, Evaggelia Cornelis, Bruno Deligiannis, Nikos Vrije Univ Brussel Pl Laan 2 B-1050 Brussels Belgium IMEC Kapeldreef 75 B-3001 Leuven Belgium
Joint image super-resolution (SR) refers to the reconstruction of a high-resolution image from its low-resolution version with the aid of a high-resolution image from another modality. Inspired by the recent success o... 详细信息
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Convolution analysis operator for multimodal image fusion
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Procedia Computer Science 2021年 183卷 603-608页
作者: Chengfang Zhang sichuan police college 186 longtouguan Road Luzhou 646000 China
convolutional analysis operator learning, which takes advantage of the ability to extract and store overlapping blocks across training signals, has been the subject of much research in computer vision applications. Th... 详细信息
来源: 评论
Emotional Intensity Estimation using Thermal Images  46
Emotional Intensity Estimation using Thermal Images
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46th Annual Conference of the IEEE-Industrial-Electronics-Society (IECON)
作者: Rooj, Suparna Antesh, U. Bhattacharya, Shubhobrata Routray, Aurobinda Mandal, Manas K. Indian Inst Technol Adv Technol Dev Ctr Kharagpur W Bengal India Int Inst Informat Technol Elect & Elect Engn Bhubaneswar Odisha India Indian Inst Technol Dept Elect Engn Kharagpur W Bengal India Indian Inst Technol Dept Humanities & Social Sci Kharagpur W Bengal India
Intensity estimation of genuine emotion is a challenge for an inexpressive face or deceiving emotion. Thermal modality is experimentally seen to have the capability to reflect true emotion. However, emotion intensity ... 详细信息
来源: 评论
MOTION BLUR PRIOR
MOTION BLUR PRIOR
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IEEE International Conference on Image Processing (ICIP)
作者: Sroubek, Filip Kotera, Jan Czech Acad Sci Inst Informat Theory & Automat Prague Czech Republic
Priors play an important role of regularizers in image deblurring algorithms. Image priors are frequently studied and many forms were proposed in the literature. Blur priors are considered less important and the most ... 详细信息
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CONFIRMNET: convolutional FIRMNET AND APPLICATION TO IMAGE DENOISING AND INPAINTING
CONFIRMNET: CONVOLUTIONAL FIRMNET AND APPLICATION TO IMAGE D...
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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Pokala, Praveen Kumar Uttam, Prakash Kumar Seelamantula, Chandra Sekhar Indian Inst Sci Dept Elect Engn Bangalore 560012 Karnataka India DRDO Electromech Syst Grp Pune 411015 Maharashtra India
We address the problem of efficient convolutional sparse coding (CSC) and develop a non-convex-penalty-regularized CSC formulation, namely, minimax-concave CSC ((MCSC)-S-2). (MCSC)-S-2 leads to an optimal sparse repre... 详细信息
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Motion deblurring via multiscale residual convolutional dictionary learning
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DIGITAL SIGNAL PROCESSING 2025年 165卷
作者: Zhang, Yi Chandler, Damon M. Farias, Mylene C. Q. Xi An Jiao Tong Univ Sch Informat & Commun Engn Xian 710049 Peoples R China Ritsumeikan Univ Coll Informat Sci & Engn Osaka 5678570 Japan Texas State Univ Dept Comp Sci San Marcos TX 78666 USA
Sparsity-based methods have been extensively used for restoration of blurry images. To overcome the limitation found in patch-based sparse representation models that the shift-invariant properties of images are often ... 详细信息
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An improved method for single image super-resolution based on deep learning
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SIGNAL IMAGE AND VIDEO PROCESSING 2019年 第3期13卷 557-565页
作者: Xie, Chao Liu, Ying Zeng, Weili Lu, Xiaobo Nanjing Forestry Univ Coll Mech & Elect Engn Nanjing 210037 Jiangsu Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Civil Aviat Nanjing 210016 Jiangsu Peoples R China Southeast Univ Sch Automat Nanjing 210096 Jiangsu Peoples R China
This paper strives for presenting an improved method for single image super-resolution based on deep learning, and therefore, a well-designed network structure is proposed by simultaneously considering the merits of c... 详细信息
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Adaptive ADMM for Dictionary Learning in convolutional sparse Representation
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IEEE TRANSACTIONS ON IMAGE PROCESSING 2019年 第7期28卷 3408-3422页
作者: Peng, Guan-Ju Natl Chung Hsing Univ Dept Appl Math Taichung 402 Taiwan
In this paper, we propose a novel approach to convolutional sparse representation with the aim of resolving the dictionary learning problem. The proposed method, referred to as the adaptive alternating direction metho... 详细信息
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Deep convolutional Compressed Sensing for LiDAR Depth Completion  14th
Deep Convolutional Compressed Sensing for LiDAR Depth Comple...
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14th Asian Conference on Computer Vision (ACCV)
作者: Chodosh, Nathaniel Wang, Chaoyang Lucey, Simon Carnegie Mellon Univ Pittsburgh PA 15213 USA
In this paper we consider the problem of estimating a dense depth map from a set of sparse LiDAR points. We use techniques from compressed sensing and the recently developed Alternating Direction Neural Networks (ADNN... 详细信息
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SPOTNET - LEARNED ITERATIONS FOR CELL DETECTION IN IMAGE-BASED IMMUNOASSAYS  16
SPOTNET - LEARNED ITERATIONS FOR CELL DETECTION IN IMAGE-BAS...
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16th IEEE International Symposium on Biomedical Imaging (ISBI)
作者: Pla, Pol del Aguila Saxena, Vidit Jalden, Joakim KTH Royal Inst Technol Dept Informat Sci & Engn Sch Elect Engn & Comp Sci S-11428 Stockholm Sweden
Accurate cell detection and counting in the image-based ELISpot and FluoroSpot immunoassays is a challenging task. Recently proposed methodology matches human accuracy by leveraging knowledge of the underlying physica... 详细信息
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