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Efficient Attention Fusion Network in Wavelet Domain for Demoireing

Chunyun Sun, Huicheng Lai, Liejun Wang, Zhenghong Jia
2021 IEEE Access  
To address this issue, this paper proposes a demoireing method in the wavelet domain.  ...  In addition, to further reconstruct more details of moire patterns, this paper proposes an efficient attention fusion module (EAFM).  ...  Inspired by MWCNN [19] , to address moire patterns in screened images, this paper proposes a multiscale demoire network in the wavelet domain based on efficient attention fusion.  ... 
doi:10.1109/access.2021.3070809 fatcat:7woko6qwknhoje7oxkqfvzqi4i

NTIRE 2020 Challenge on Image Demoireing: Methods and Results [article]

Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu (+34 others)
2020 arXiv   pre-print
The entries span the current state-of-the-art in image and burst image demoireing problems.  ...  This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020.  ...  HaiYun team propose a deep wavelet network with domain adaptation for single image demoireing, dubbed AWUDN [53] , as shown in Figure 3 .  ... 
arXiv:2005.03155v1 fatcat:7cob4jufzbawfafcimgtoitdk4

AIM 2019 Challenge on Image Demoireing: Methods and Results [article]

Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Ming Hong (+15 others)
2019 arXiv   pre-print
A total of eight teams competed in the final testing phase. The entries span the current the state-of-the-art in the image demoireing problem.  ...  This paper reviews the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ICCV 2019.  ...  XMU-VIPLab team XMU-VIPLab team proposed Global-local Fusion Network for Single Image Demoireing, shown in Figure 7 .  ... 
arXiv:1911.03461v1 fatcat:q5tgvkbp4fgatiucnybsb7u6de

AIM 2019 Challenge on Image Demoireing: Dataset and Study [article]

Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis
2019 arXiv   pre-print
This paper introduces a novel dataset, called LCDMoire, which was created for the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction  ...  In addition to describing the dataset and its creation, this paper also reviews the challenge tracks, competition, and results, the latter summarizing the current state-of-the-art on this dataset.  ...  IAIR team The IAIR team proposed Wavelet-Based Multi-Scale Network, namely WMSN, for Image Demoireing.  ... 
arXiv:1911.02498v1 fatcat:y2deti2nura73f5alfpmvekgfe

Wavelet-Based Network For High Dynamic Range Imaging [article]

Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan
2022 arXiv   pre-print
In this work, we propose a novel frequency-guided end-to-end deep neural network (FHDRNet) to conduct HDR fusion in the frequency domain, and Discrete Wavelet Transform (DWT) is used to decompose inputs  ...  In addition, a new RAW dataset is created for training and evaluating multi-frame HDR imaging algorithms in the RAW domain.  ...  [27] develop WDNet for image demoireing working directly in the wavelet domain. Liu et al. [18] propose a multilevel wavelet-CNN that shows good performance on several image restoration tasks.  ... 
arXiv:2108.01434v2 fatcat:we43omyflvh4zcwqxh6udy6bsi

Image Demoireing with Learnable Bandpass Filters [article]

Bolun Zheng, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis
2020 arXiv   pre-print
In this paper, we propose a novel multiscale bandpass convolutional neural network (MBCNN) to address this problem. As an end-to-end solution, MBCNN respectively solves the two sub-problems.  ...  Image demoireing is a multi-faceted image restoration task involving both texture and color restoration.  ...  The network performs both texture restoration and color restoration within the same model. • We propose a learnable bandpass filter (LBF) for efficient moire texture removal.  ... 
arXiv:2004.00406v1 fatcat:vqhua7l2fjdzrb74i5yieybtfu

WaveFill: A Wavelet-based Generation Network for Image Inpainting [article]

Yingchen Yu, Fangneng Zhan, Shijian Lu, Jianxiong Pan, Feiying Ma, Xuansong Xie, Chunyan Miao
2021 arXiv   pre-print
domain.  ...  This paper presents WaveFill, a wavelet-based inpainting network that decomposes images into multiple frequency bands and fills the missing regions in each frequency band separately and explicitly.  ...  For efficiency, we employ max-pooling to obtain a spatial dimension of N = 1024 (32 × 32) for attention calculation and aggregation.  ... 
arXiv:2107.11027v1 fatcat:sf6s4vehvfakti5brjgspc5gb4

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results [article]

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu (+78 others)
2020 arXiv   pre-print
This challenge has two tracks for quantitatively evaluating image denoising performance in (1) the Bayer-pattern rawRGB and (2) the standard RGB (sRGB) color spaces.  ...  A total of 22 teams, proposing 24 methods, competed in the final phase of the challenge.  ...  and used loss in wavelet transform domain.  ... 
arXiv:2005.04117v1 fatcat:iwtpyxikerbqhhvkpmwghqxeke

Table of Contents

2020 2020 IEEE International Conference on Image Processing (ICIP)  
AN EFFICIENT CONVOLUTION NETWORK BACKBONE ...........................................  ...  WITHKALMAN FILTER AND ..............................................858 ATTENTION SALIENCY FUSION NETWORK+\XQZRR 1DP 'XERN 3DUN .DQJZRQ -HRQ 6DPVXQJ (OHFWURQLFV 5HSXEOLF RI .RUHD TEC-05.18: LEGENDRE BASED  ...  CODED-APERTURE FOR UNSUPERVISED CLASSIFICATION OF HYPERSEPCTRAL IMAGERY -LDQFKHQ =KX 7RQJ =KDQJ 6KHQJMLH =KDR 7RQJML 8QLYHUVLW\ &KLQD IMT-02.4: ADMM-INSPIRED RECONSTRUCTION NETWORK FOR COMPRESSIVE  ... 
doi:10.1109/icip40778.2020.9191006 fatcat:3fkxl2sjmre2jkryewwo5mlahi

CVPRW 2020 TOC

2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
A Training Method for Image Compression Networks to Improve Perceptual Quality of Reconstructions 585 Jooyoung Lee (Broadcasting and Media Research Laboratory, Electronics and Telecommunications Research  ...  Network with Domain Adaptation for Single Image Demoireing 1687 Xiaotong Luo (Xiamen University, Xiamen, China), Jiangtao Zhang (Xiamen University, Xiamen, China), Ming Hong (Xiamen University, Xiamen  ...  Extreme Super-Resolution 1705 Younghyun Jo (Yonsei University), Sejong Yang (Yonsei University), and Seon Joo Kim (Yonsei University; Facebook) C3Net: Demoiréing Network Attentive in Channel, Color and  ... 
doi:10.1109/cvprw50498.2020.00004 fatcat:6qao4eypyvg3xiiigih3kicniq

Wavelet-Based Network For High Dynamic Range Imaging [article]

Tianhong Dai, Wei Li, Xilei Cao, Jianzhuang Liu, Xu Jia, Ales Leonardis, Youliang Yan, Shanxin Yuan
2021
In this work, we propose a novel frequency-guided end-to-end deep neural network (FHDRNet) to conduct HDR fusion in the frequency domain, and Discrete Wavelet Transform (DWT) is used to decompose inputs  ...  In addition, a new RAW dataset is created for training and evaluating multi-frame HDR imaging algorithms in the RAW domain.  ...  [29] develop WDNet for image demoireing working directly in the wavelet domain. Liu et al. [19] propose a multi-level wavelet-CNN that shows good performance on several image restoration tasks.  ... 
doi:10.48550/arxiv.2108.01434 fatcat:wlrtv5y6zbaqlefbubuo4wpt6e

Table of Contents

2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Tenenbaum (MIT CSAIL), and Jiajun Wu (Stanford University) DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration 4443 Jian Wang (University of Virginia) and Miaomiao Zhang  ...  and Network Engineering, Shanghai Jiao Tong University) Cross-Domain Correspondence Learning for Exemplar-Based Image Translation 5142 Pan Zhang (University of Science and Technology of China), Bo Zhang  ... 
doi:10.1109/cvpr42600.2020.00004 fatcat:c7els2kee5cq7lh6cemeqhdcoa