Contextual-assisted scratched photo restoration

W Cai, H Zhang, X Xu, S He, K Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Printed photographs can be easily warped, wrinkled, and even deteriorated over time.
Existing methods treat the restoration of scratches as a pure inpainting problem that neglects …

Counterfeit electronics detection using image processing and machine learning

N Asadizanjani, M Tehranipoor… - Journal of physics …, 2017 - iopscience.iop.org
Counterfeiting is an increasing concern for businesses and governments as greater
numbers of counterfeit integrated circuits (IC) infiltrate the global market. There is an …

A database for counterfeit electronics and automatic defect detection based on image processing and machine learning

N Asadizanjani, S Gattigowda… - … for Testing and …, 2016 - dl.asminternational.org
Counterfeiting is an increasing concern for businesses and governments as greater
numbers of counterfeit integrated circuits (IC) infiltrate the global market. There is an …

An essential role of gelatin in the formation process of curling in long historical photos

J Liu, Y Li, D Hu, X Chao, Y Zhou, J Wang - Polymers, 2021 - mdpi.com
Curling disease in long historical photos significantly affects the presentation of cultural
heritage information. However, people lack attention to the formation process and …

A knowledge based architecture for the virtual restoration of ancient photos

E Ardizzone, H Dindo, G Mazzola - Pattern Recognition, 2018 - Elsevier
Historical images are essential documents of the recent past. Nevertheless, time and bad
preservation corrupt their physical supports. Digitization can be the solution to extend their …

Old scratched photos restoration with enhancement and colorization

S Wang, X Ding, W Zhang - Multimedia Tools and Applications, 2024 - Springer
Although the current deep learning-based old photos restoration work can repair scratches
and structural defects, the results often have the problems of incomplete scratch detection …

Inspecting product quality with computer vision techniques: Comparing traditional image processingmethodswith deep learning methodson small datasets in finding …

J Hult, P Pihl - 2021 - diva-portal.org
Quality control is an important part of any production line. It can be done manually but is
most efficient if automated. Inspecting quality can include many different processes but this …

Automatic scratch detection and inpainting

S Bhuvaneswari, TS Subashini - 2015 IEEE 9th International …, 2015 - ieeexplore.ieee.org
This paper proposes a system for scratch detection using bilateral filter combined with Haar
Wavelet Transform. In this system the image is first gray scaled and then bilateral filter is …

Detection and removal of scratches in images

S Bhuvaneswari, TS Subashini… - Mining Intelligence and …, 2013 - Springer
In this paper a detection/restoration method to detect and remove line scratches in still
images, regardless of their orientation, colour, and shape is presented. In this work the two …

A simple and robust algorithm for the detection of multidirectional scratch from digital images

S Ghosh, R Saha - … on Advances in Pattern Recognition (ICAPR …, 2015 - ieeexplore.ieee.org
Over time, old films and pictures are eroded and often get corrupted with physical scratches.
Digitization of these physically corrupted films lead to the presence of various scratch marks …