Application of digital image processing methods for the goal of restoration of fine art objects.

Кокошкин, А. В.; Korotkov, V. A.; Korotkov, K. V.; Novichihin, E. P.

doi:10.30898/1684-1719.2018.9.16

Cited by 2 publications

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“…We believe that this happens because MIPVS, working in the frequency domain, uses all available data (the entire original image), while spline or linear interpolation, performing actions in the spatial domain, operates with information only about the edges of the gap. Thus, MIPVS not only retouches, but also tries to reconstruct the lost data [14,15,16,19].…”

Section: Discussionmentioning

confidence: 99%

“…4 interpolation, performing actions in the spatial domain, operates with information about the edges of the gap. Thus, MIPVS not only retouches, but also tries to reconstruct the lost data [14,15,16,19]. Some fluctuations in the curves in Fig.…”

Section: Final Examplementioning

confidence: 99%

“…In [14], we have developed a method for interpolation of a sequentially calculated Fourier spectrum (MIPVS), which is capable of filling in gaps of arbitrary shape. In works [15][16][17][18][19], possible areas of application of MIPVS are shown and a comparative analysis of the methods used to fill gaps in images was carried out.…”

Section: Introductionmentioning

confidence: 99%

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Restoring Missing Fragments of a Distorted Image Due to Defocusing or Blur of a Known Hardware Function

Кокошкин¹,

Новичихин²

2020

RENSIT

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In this paper, a comparative analysis of the methods for recovering images distorted by defocusing or blurring from incomplete data is performed using examples. Incomplete data means the absence of any image fragments that were retouched using different types of interpolation - linear, spline and the interpolation method for the sequential calculation of the Fourier spectrum (IMSCS) developed by us. Then, the famous deconvolution method, the Wiener Filter (WF), was applied to the entire image. Analysis of the quality of restoration, carried out on the example of aerospace images, suggests that using IMSCS to fill in missing fragments (gaps) is either preferred or no less competitive than alternative methods. This is a consequence of the fact that IMSCS does not just retouch the gap, but also tries to reconstruct the lost data.

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Section: Discussionmentioning

confidence: 99%

Section: Final Examplementioning

confidence: 99%

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Restoring Missing Fragments of a Distorted Image Due to Defocusing or Blur of a Known Hardware Function

Кокошкин¹,

Новичихин²

2020

RENSIT

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Retouching and restoration of missing image fragments by means of the iterative calculation of their spectra

Кокошкин

Korotkov

et al. 2019

Computer Optics

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This paper discusses the use of the interpolation method for the sequential calculation of the Fourier spectrum (IMSCS) for retouching and restoration of missing (shaded) image fragments. The proposed approach can be used with any form of a missing image fragment. Such image processing can give good results even at a significantly high percentage of missing image fragments. The method of digital virtual image reconstruction proposed here is strictly based on a scientific approach; as the source data, it uses all the data available (the image itself is the object to be recovered). Therefore, it is free from the human factor, because of which subjective changes can be introduced in the image under processing. The results presented indicate a significant increase in the quality of digital images (increasing the information content), which can offer helpful auxiliary tools for professionals using these images for their practical purposes.

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Application of digital image processing methods for the goal of restoration of fine art objects.

Cited by 2 publications

References 0 publications

Restoring Missing Fragments of a Distorted Image Due to Defocusing or Blur of a Known Hardware Function

Restoring Missing Fragments of a Distorted Image Due to Defocusing or Blur of a Known Hardware Function

Retouching and restoration of missing image fragments by means of the iterative calculation of their spectra

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