Results 1 to 10 of about 129,965 (262)
Hybrid regularization inspired by total variation and deep denoiser prior for image restoration
Complex & Intelligent SystemsImage restoration is a fundamental problem in computer vision, with the goal of restoring high-quality images from degraded low-quality observation images. However, the ill-posedness of restoration problem often leads to artifacts in the results.
Hu Liang +3 more
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The Effects of AI-Driven Face Restoration on Forensic Face Recognition
Applied SciencesIn biometric recognition, face recognition is a mature and widely used technique that provides a fast, accurate, and reliable method for human identification.
Mengxuan Yang, Shengnan Li, Jinhua Zeng
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An In-Depth Survey of Underwater Image Enhancement and Restoration
IEEE Access, 2019 Images taken under water usually suffer from the problems of quality degradation, such as low contrast, blurring details, color deviations, non-uniform illumination, etc.
Miao Yang +5 more
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MSTNet: a multi-stage progressive network with local–global transformer fusion for image restoration
Complex & Intelligent SystemsImage restoration is a challenging and complex problem involving recovering the original clear image from a degraded or noisy image. In the medical field, image restoration techniques can significantly improve the quality of endoscopic images, helping ...
Ruyu Liu +8 more
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Spatially Adaptive Intensity Bounds for Image Restoration
EURASIP Journal on Advances in Signal Processing, 2003 Spatially-adaptive intensity bounds on the image estimate are shown to be an effective means of regularising the ill-posed image restoration problem.
Stathaki Tania +2 more
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Image restoration for digital line drawings using line masks
Graphical ModelsThe restoration of digital images holds practical significance due to the fact that degradation of digital image data on the internet is common. State-of-the-art image restoration methods usually employ end-to-end trained networks. However, we argue that
Yan Zhu, Yasushi Yamaguchi
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FIR-SDE: fast image restoration via mean-reverting stochastic differential equation
Complex & Intelligent SystemsIn computer vision, zero-shot image restoration—a technique enabling degraded image restoration without large-scale paired training data—has emerged as a pivotal technique for scenarios where data is limited or paired training data is challenging to ...
Xin Shi +5 more
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Equivariant Denoisers for Image Restoration
One key ingredient of image restoration is to define a realistic prior on clean images to complete the missing information in the observation. State-of-the-art restoration methods rely on a neural network to encode this prior. Moreover, typical image distributions are invariant to some set of transformations, such as rotations or flips.
Renaud, Marien +2 more
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Efficient Hybrid Network with Prompt Learning for Multi-Degradation Image Restoration
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Image restoration aims to repair degraded images. Traditional image restoration methods have limited generalization capabilities due to the difficulty in dealing with different types and levels of degradation. On the other hand, contemporary research has
Muhammad Yusuf Kardawi +1 more
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International Journal of Innovative Research in Information SecurityImage restoration is an integral component of computer vision that tries to restore pictures that have been deteriorated or corrupted to their original or enhanced condition. In this study, we look into the wide-ranging terrain of picture restoration techniques, which includes both conventional filter-based approaches and cutting-edge deep learning ...
Nakul Kumar Gupta, Dr.S.K.Manju Bargavi
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