Výsledky vyhledávání - "Defocus deblurring"

Learning Enriched Features for Fast Image Restoration and Enhancement Autor Zamir, Syed Waqas, Arora, Aditya, Khan, Salman, Hayat, Munawar, Khan, Fahad Shahbaz, Yang, Ming-Hsuan, Shao, Ling

“…Given a degraded input image, image restoration aims to recover the missing high-quality image content. Numerous applications demand effective image…”
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Learning dual-pixel alignment for defocus deblurring Autor Li, Yu, Yi, Yaling, Shu, Xinya, Ren, Dongwei, Li, Qince, Zuo, Wangmeng

“…It is a challenging task to recover sharp image from a single defocus blurry image in real-world applications. On many modern cameras, dual-pixel (DP) sensors…”
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Joint learning of motion deblurring and defocus deblurring networks with a real-world dataset Autor Li, Yu, Shu, Xinya, Ren, Dongwei, Li, Qince, Zuo, Wangmeng

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Single image defocus deblurring via multimodal-guided diffusion and depth-aware fusion Autor Li, Xiaopan, Wu, Shiqian, Zhu, Qile, Xie, Shoulie, Agaian, Sos

“…Defocus blur is inherently related to depth of field, yet its complex spatial variations pose significant challenges for existing methods. Two primary…”
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Deep Single Image Defocus Deblurring via Gaussian Kernel Mixture Learning Autor Quan, Yuhui, Wu, Zicong, Xu, Ruotao, Ji, Hui

“…This paper proposes an end-to-end deep learning approach for removing defocus blur from a single defocused image. Defocus blur is a common issue in digital…”
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High-Frequency Prioritized Sparse Attention Network for Image Restoration Autor Dong, Shuting, Wu, Zhe, Wei, Hongyang, Chen, Mingzhi, Li, Guanghao, Qian, Haolong, Peng, Hanyang, Yuan, Chun

“…Image restoration aims to restore high-quality images from degraded inputs caused by factors such as motion blur, defocus blur, and rain, where the primary…”
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DeepRFWT: Approach to mitigate defocus blur effects in DIC-based strain analysis Autor Sui, Shunshun, Ma, Yancheng, Wen, Qingfeng, Chen, Yuze, Wang, Yaqi, Zhang, Zhongwei, Dai, Xiangjun

“…•DeepRFWT was proposed for defocused speckle image restoration in DIC.•MSFE, MTDED and FDST modules were designed for multi-domain feature processing.•The…”
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CDJNet: Real-world infrared image defocus deblurring via Content-Detail Joint extraction Autor Zhang, Zhuo, Liu, Chuanming, Zhang, Chen, Zhang, Haoran, Hong, Wenqing

“…•CDJNet: A novel CNN-based method for infrared image defocus deblurring.•The Content-Detail Joint Extraction module for effective feature extraction.•The…”
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Reblurring-Guided Single Image Defocus Deblurring: A Learning Framework with Misaligned Training Pairs Autor Ren, Dongwei, Shu, Xinya, Li, Yu, Wu, Xiaohe, Li, Jin, Zuo, Wangmeng

“…For single image defocus deblurring, acquiring well-aligned training pairs (or training triplets), i.e. , a defocus blurry image, an all-in-focus sharp image…”
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Attacking Defocus Detection With Blur-Aware Transformation for Defocus Deblurring Autor Zhao, Wenda, Hu, Guang, Wei, Fei, Wang, Haipeng, He, You, Lu, Huchuan

“…Previous fully-supervised defocus deblurring has made significant progress. However, training such deep models requires abundant paired ground truth, which is…”
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Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks Autor Cui, Shuang, Li, Yi, Li, Jiangmeng, Tang, Xiongxin, Su, Bing, Xu, Fanjiang, Xiong, Hui

“…Single image defocus deblurring (SIDD) aims to restore an all-in-focus image from a defocused one. Distribution shifts in defocused images generally lead to…”
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Parallax-aware dual-view feature enhancement and adaptive detail compensation for dual-pixel defocus deblurring Autor Niu, Yuzhen, He, Yuqi, Xu, Rui, Li, Yuezhou, Chen, Yuzhong

“…Defocus deblurring using dual-pixel sensors has gathered significant attention in recent years. However, current methodologies have not adequately addressed…”
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Real-world defocus deblurring via score-based diffusion models Autor Li, Yuhao, Fang, Haoran, Lei, Xiang, Wang, Qi, Hu, Gang, Dong, Jiaqing, Li, Zilong, Lin, Jiabin, Liu, Qiegen, Song, Xianlin

“…Defocus blur commonly arises from the cameras’ depth-of-field limitations. While the deep learning method shows promise for image restoration problems, defocus…”
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Enhancing Local-Global Representation Learning for Image Restoration Autor Cui, Yuning, Knoll, Alois

“…Vision systems are the core element in industrial systems, such as intelligent transportation systems and inspection robots. However, undesired degradations…”
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Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring Autor Zhou, Changyin, Lin, Stephen, Nayar, Shree K.

“…The classical approach to depth from defocus (DFD) uses lenses with circular apertures for image capturing. We show in this paper that the use of a circular…”
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Quad-Pixel Image Defocus Deblurring: A New Benchmark and Model Autor Chen, Hang, Xie, Yin, Peng, Xiaoxiu, Sun, Lihu, Su, Wenkai, Yang, Xiaodong, Liu, Chengming

“…Defocus deblurring is a challenging task due to the spatially varying blur. Recent works have shown impressive results in data-driven approaches using…”
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BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring Autor Liang, Pengwei, Jiang, Junjun, Liu, Xianming, Ma, Jiayi

“…Reducing the defocus blur that arises from the finite aperture size and short exposure time is an essential problem in computational photography. It is very…”
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Swin-Diff: a single defocus image deblurring network based on diffusion model Autor Liang, Hanyan, Chai, Shuyao, Zhao, Xixuan, Kan, Jiangming

“…Single Image Defocus Deblurring (SIDD) remains challenging due to spatially varying blur kernels, particularly in processing high-resolution images where…”
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AIFNet: All-in-Focus Image Restoration Network Using a Light Field-Based Dataset Autor Ruan, Lingyan, Chen, Bin, Li, Jizhou, Lam, Miu-Ling

“…Defocus blur often degrades the performance of image understanding, such as object recognition and image segmentation. Restoring an all-in-focus image from its…”
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Perceptual quality evaluation for image defocus deblurring Autor Li, Leida, Yan, Ya, Fang, Yuming, Wang, Shiqi, Tang, Lu, Qian, Jiansheng

“…Blur is one of the most common distortion types in image acquisition. Image deblurring has been widely studied as an effective technique to improve the quality…”
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