LBP-based segmentation of defocus blur

X Yi, M Eramian - IEEE transactions on image processing, 2016 - ieeexplore.ieee.org
Defocus blur is extremely common in images captured using optical imaging systems. It may
be undesirable, but may also be an intentional artistic effect, thus it can either enhance or …

[PDF][PDF] Restoration for blurred noisy images based on guided filtering and inverse filter

RH Al_taie - International Journal of Electrical and Computer …, 2021 - academia.edu
The development of complex life leads into a need using images in several fields, because
these images degraded during capturing the image from mobiles, cameras and persons …

Characterizing Atmospheric Turbulence and Removing Distortion in Long-range Imaging

C Whyte - 2021 - keep.lib.asu.edu
Atmospheric turbulence distorts the path of light passing through the air. When capturing
images at long range, the effects of this turbulence can cause substantial geometric …

[PDF][PDF] Plant Seed Identification

X Yi - 2017 - harvest.usask.ca
Plant seed identification is routinely performed for seed certification in seed trade,
phytosanitary certification for the import and export of agricultural commodities, and …

[PDF][PDF] An Improved Defocus Blur with Combined Local Binary Patterns and Nearest Neighbour Technique.

AJ Sravani, LV Prasad - … Journal of Simulation--Systems, Science & …, 2020 - ijssst.info
Defocus blur is one of the phenomena in obtaining images using optical imaging systems.
Blur parts mainly segment images into obscure or non-obscure regions. The existing …

Fiber quantity analysis of cementitious composite using multifocus imagery

O Akcay, BY Pekmezci, DZ Seker… - Polymer …, 2018 - Wiley Online Library
After static and impact loading tests applied to PVA fiber reinforced cementitious composites,
depending on the loading type and mixture properties of the composite, different fiber failure …