Results 61 to 70 of about 511,982 (176)
Deep Mean-Shift Priors for Image Restoration
, 2017 In this paper we introduce a natural image prior that directly represents a Gaussian-smoothed version of the natural image distribution. We include our prior in a formulation of image restoration as a Bayes estimator that also allows us to solve noise ...
Bigdeli, Siavash Arjomand +3 more
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Image Restoration Technology Based on Discrete Neural network
MATEC Web of Conferences, 2015 With the development of computer science and technology, the development of artificial intelligence advances rapidly in the field of image restoration.
Zhou Duoying
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EURASIP Journal on Image and Video Processing, 2019 When the computer is working, it will transmit the electromagnetic leakage signal containing the video information and receive and process the electromagnetic leakage signal within a certain distance, which can reproduce the screen information and form ...
Chunwei Miao, Jianlin Hu
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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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, 2001 Abstract The problem of statistical inference of the original image, given a noisy image, can be formulated in a similar way to error-correcting codes. By the Bayes formula, the problem reduces to a form of random spin systems, and methods of statistical mechanics apply.
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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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Optimum constrained image restoration filters [PDF]
The filter was developed in Hilbert space by minimizing the radius of gyration of the overall or composite system point-spread function subject to constraints on the radius of gyration of the restoration filter point-spread function, the total noise ...
Mcgillem, C. D., Riemer, T. E.
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Structured FISTA for image restoration
Numerical Linear Algebra with Applications, 2019 SummaryIn this paper, we propose an efficient numerical scheme for solving some large‐scale ill‐posed linear inverse problems arising from image restoration. In order to accelerate the computation, two different hidden structures are exploited. First, the coefficient matrix is approximated as the sum of a small number of Kronecker products.
Zixuan Chen +3 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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