Results 31 to 40 of about 511,982 (176)
An Iterative Shrinkage Approach to Total-Variation Image Restoration
, 2009 The problem of restoration of digital images from their degraded measurements plays a central role in a multitude of practically important applications.
Michailovich, Oleg
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A Comprehensive Review of Image Restoration Research Based on Diffusion Models
MathematicsImage restoration is an indispensable and challenging task in computer vision, aiming to enhance the quality of images degraded by various forms of degradation. Diffusion models have achieved remarkable progress in AIGC (Artificial Intelligence Generated
Jun Li +3 more
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Image Restoration Using Deep Learning Based Image Completion
Jurnal Sisfokom, 2023 Digital images can experience various disturbances in acquisition and storage, one of which is a disturbance indicated by damage to certain areas of the image field and causes the loss of some of the information represented by the image.
Phie Chyan, Tri Saptadi
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Restoring SAR Images Using Effective Image Restoration Approach
International Journal of Information Retrieval Research, 2021 Landsat 7 Enhanced Thematic Mapper Plus satellite images presents an important data source for many applications related to remote sensing. An effective image restoration method is proposed to fill the missing information in the satellite images. The segmentation of satellite images to find the SLIC Super pixels and then to find the image Segments. The
null Vaishnavi P., Angelin Gladston
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Magnetic Resonance Image restoration [PDF]
Journal of Mathematical Imaging and Vision, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Garnier, Stephen J. +3 more
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, 2010 As a powerful statistical image modeling technique, sparse representation has been successfully used in various image restoration applications. The success of sparse representation owes to the development of l1-norm optimization techniques, and the fact ...
Dong, Weisheng +3 more
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Photographic Image Restoration [PDF]
, 1991 Deblurring capabilities would significantly improve the Flight Science Support Office's ability to monitor the effects of lift-off on the shuttle and landing on the orbiter.
Hite, Gerald E.
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Image Restoration using Total Variation Regularized Deep Image Prior
, 2018 In the past decade, sparsity-driven regularization has led to significant improvements in image reconstruction. Traditional regularizers, such as total variation (TV), rely on analytical models of sparsity.
Kamilov, Ulugbek S. +3 more
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Underwater Image Restoration via Contrastive Learning and a Real-World Dataset
Remote Sensing, 2022 Underwater image restoration is of significant importance in unveiling the underwater world. Numerous techniques and algorithms have been developed in recent decades. However, due to fundamental difficulties associated with imaging/sensing, lighting, and
Junlin Han +9 more
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BLIND RESTORATION USING CONVOLUTION NEURAL NETWORK
Iraqi Journal of Information & Communication Technology, 2021 Image restoration is a branch of image processing that involves a mathematical deterioration and restoration model to restore an original image from a degraded image.
Meryem H. Muhson, Ayad A. Al-Ani
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