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Deblurring

Known as: Image deblurring 
Deblurring is the process of removing blurring artifacts from images, such as blur caused by defocus aberration or motion blur. The blur is typically… 
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Related topics

Related topics

7 relations
Blind deconvolutionConvolutionDeconvolutionEcho removal

Broader (1)

Image processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Total Variation and Alternate Direction Method for Deblurring of Digital Images
Images captured using smartphones and video cameras are recorded and can be used anywhere and at any time. While taking a quick… 
2018
2018
Regularization Parameter Selection in Image Restoration with Inverse Gradient: Single Scale or Multiscale?
Regularization methods are effective in to solving ill-posed vision problems such as image denoising and restoration. These… 
2017
2017
Unambiguous Text Localization and Retrieval for Cluttered Scenes
Text instance as one category of self-described objects provides valuable information for understanding and describing cluttered… 
2016
2016
Adaptive boosting for image denoising: Beyond low-rank representation and sparse coding
In the past decade, much progress has been made in image denoising due to the use of low-rank representation and sparse coding… 
2015
2015
Image super-resolution using sparse coding over redundant dictionary based on effective image representations
2011
2011
A low-complexity pre-processing system for restoring low-quality QR code images
In this paper we propose a complete preprocessing system for restoring low-quality Quick Response code images. The target… 
2009
2009
Bregman-EM-TV Methods with Application to Optical Nanoscopy
Measurements in nanoscopic imaging suffer from blurring effects concerning different point spread functions (PSF). Some apparatus… 
2006
2006
Blur Identification Using Neural Network for Image Restoration
A prior knowledge about the distorting operator and its parameters is of crucial importance in blurred image restoration. In this… 
2004
2004
A second‐generation wavelet framework for super‐resolution with noise filtering
The use of second‐generation wavelets to attain super‐resolution with noise filtering is described for a captured sequence of low… 
2003
2003
Combining neighbourhood-based and histogram similarity measures for the design of image quality measures
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