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Handling Gaussian blur without deconvolution

  • Published:2020-07 Issue: Volume:103 Page:107264
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Kostková Jitka,Flusser Jan,Lébl Matěj,Pedone Matteo

Funder

Czech Science Foundation

Ministry of Education, Youth, and Sports

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference47 articles.

1. 2D and 3D Image Analysis by Moments;Flusser,2016

2. Image reconstruction from a complete set of geometric and complex moments;Honarvar;Signal Processing,2014

3. The APEX method in image sharpening and the use of low exponent Lévy stable laws;Carasso;SIAM J. Appl. Math.,2003

4. Local scale control for edge detection and blur estimation;Elder;IEEE Trans Pattern Anal Mach Intell,1998

5. Single-image refocusing and defocusing;Zhang;IEEE Trans. Image Process.,2012

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1. Research on Image Restoration Processing Based on Gaussian Blur Algorithm;2023 3rd International Signal Processing, Communications and Engineering Management Conference (ISPCEM);2023-11-25

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3. IRDC-Net: Lightweight Semantic Segmentation Network Based on Monocular Camera for Mobile Robot Navigation;Sensors;2023-08-03

4. Blur Invariants for Image Recognition;International Journal of Computer Vision;2023-06-01

5. Representing Blurred Image without Deblurring;Mathematics;2023-05-10
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