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1. Digital Restoration of Cultural Heritage
With Data-Driven Computing: A Survey
Abstract
Digitized methodologies in the recent era contribute to various fields of
automation that used to hold different interests and meanings of human life.
Buildings with historical significance, cultural values, and beliefs are becoming
an interdisciplinary field of interest, engaging more computer scientists
nowadays. Such structures need more attention towards reconstructing their
values using a flavor of computerized tools instead of brickwork directly. Due
to the wear of time, the tiles and engravings of mo
monuments are on the verge of ruin, endangering significant historical values.
In this survey, we rebuild the values by delving deep into the device and
methodologies by providing a comprehensive understanding of emerging
fields and some experimental decisions. We discuss heritage restoration from
some essential papers on 3D reconstruction, image inpainting, IoT
methods, genetic algorithms, and image processing. The survey explains
Machine Learning, Deep Learning, and Computer Vis
various restoration tasks in the related field. We divide this into certain parts
contributing to different fields that restore cultural heritage. Moreover, we infer
Digital Restoration of Cultural Heritage
Driven Computing: A Survey
Digitized methodologies in the recent era contribute to various fields of
automation that used to hold different interests and meanings of human life.
Buildings with historical significance, cultural values, and beliefs are becoming
eld of interest, engaging more computer scientists
nowadays. Such structures need more attention towards reconstructing their
values using a flavor of computerized tools instead of brickwork directly. Due
to the wear of time, the tiles and engravings of most of the historical
monuments are on the verge of ruin, endangering significant historical values.
In this survey, we rebuild the values by delving deep into the device and
methodologies by providing a comprehensive understanding of emerging
me experimental decisions. We discuss heritage restoration from
some essential papers on 3D reconstruction, image inpainting, IoT
methods, genetic algorithms, and image processing. The survey explains
Machine Learning, Deep Learning, and Computer Vision-based methods for
various restoration tasks in the related field. We divide this into certain parts
contributing to different fields that restore cultural heritage. Moreover, we infer
Digital Restoration of Cultural Heritage
Driven Computing: A Survey
Digitized methodologies in the recent era contribute to various fields of
automation that used to hold different interests and meanings of human life.
Buildings with historical significance, cultural values, and beliefs are becoming
eld of interest, engaging more computer scientists
nowadays. Such structures need more attention towards reconstructing their
values using a flavor of computerized tools instead of brickwork directly. Due
st of the historical
monuments are on the verge of ruin, endangering significant historical values.
In this survey, we rebuild the values by delving deep into the device and
methodologies by providing a comprehensive understanding of emerging
me experimental decisions. We discuss heritage restoration from
some essential papers on 3D reconstruction, image inpainting, IoT-based
methods, genetic algorithms, and image processing. The survey explains
based methods for
various restoration tasks in the related field. We divide this into certain parts
contributing to different fields that restore cultural heritage. Moreover, we infer

2. that the techniques will be faster, cheaper, and more beneficial to the context
of image reconstruction in the near future.