A knowledge based architecture for the virtual restoration of ancient photos

Ardizzone, Edoardo; Dindo, Haris; Mazzola, Giuseppe

doi:10.1016/j.patcog.2017.09.031

Cited by 13 publications

(9 citation statements)

References 23 publications

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“…This indicates that rephotography of large landscapes could provide a better representation of regional vegetation status. It is also noteworthy that old photographs tend to underestimate satellite imagery‐derived NDVI (Ardizzone, Dindo, & Mazzola, 2018; Sun, Yu, & Wang, 2018) whereas more recent photographs provide a better approximation, which may reflect the lower resolution of earlier cameras. In addition, satellite platform‐based images were obtained by vertical projection or corrected oblique photography, which is different from camera photos that are generally taken at a horizontal angle in multiple directions to obtain oblique data (Torimaru, Itaya, & Yamamoto, 2012).…”

Section: Discussion and Perspectivesmentioning

confidence: 99%

Ecological restoration success on the Loess Plateau of China: A qualitative and quantitative exploration based on rephotography

Liu,

Gao,

Chen

et al. 2024

Earth Surf Processes Landf

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Ecological restoration programs such as the “Grain for Green Project” (GFGP) have significantly reduced soil erosion and increased vegetation cover on the Loess Plateau (LP) of China over the last decades. The LP has become the paragon of ecological restoration and soil and water conservation across the world and has been highlighted by numerous reports in the literature. However, there is a lack of “seeing is believing” evidence (that is, a picture is worth a thousand words) depicting the effectiveness of the ecological restoration on the LP. Rephotography (repeat photography) was used in this study to compare historical and current photographs of the same locations to explore the landscape changes associated with ecological restoration. Twenty‐nine photo pairs between 1925 and 2021 were compiled and combined with satellite imagery and the deduced Normalized Difference Vegetation Index (NDVI) between 1986 and 2021. This allowed the establishment of a rephotography library reflecting the achievements of ecological remediation and reconstruction on the LP. This in turn provides intuitive and detailed evidence for the ecological environment construction of the LP and resonates with the notion of “lucid waters and lush mountains being invaluable assets”. In addition to presenting a great opportunity to investigate landscape change over time, which is difficult to discern using other approaches, the study provides a scientific reference and a basis for government decision‐making. The potential use of rephotography for calibrating remote sensed data was also discussed. Good agreement was found between the NDVI derived from rephotography of large areas and NDVI derived from satellite imageries, which may facilitate the accurate reconstruction of time series NDVI.

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Section: Discussion and Perspectivesmentioning

confidence: 99%

Ecological restoration success on the Loess Plateau of China: A qualitative and quantitative exploration based on rephotography

Liu,

Gao,

Chen

et al. 2024

Earth Surf Processes Landf

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“…We also compared our method with the methods proposed by Kim et al [11] and Criminisi et al [20]. The method proposed by Kim et al was used to remove the artifacts of old documents, and the method proposed by Criminisi et al was considered to remove the degradations of murals [16][17][18]. From the results shown in Figures 8e and 9e, we see that the method proposed by Kim et al is suitable for the removal of small stains but does not work for large stains.…”

Section: Visual Analysismentioning

confidence: 99%

Virtual Restoration of Stained Chinese Paintings Using Patch-Based Color Constrained Poisson Editing with Selected Hyperspectral Feature Bands

Zhou

Hou

et al. 2019

Remote Sensing

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Stains, as one of most common degradations of paper cultural relics, not only affect paintings’ appearance, but sometimes even cover the text, patterns, and colors contained in the relics. Virtual restorations based on common red–green–blue images (RGB) which remove the degradations and then fill the lacuna regions with the image’s known parts with the inpainting technology could produce a visually plausible result. However, due to the lack of information inside the degradations, they always yield inconsistent structures when stains cover several color materials. To effectively remove the stains and restore the covered original contents of Chinese paintings, a novel method based on Poisson editing is proposed by exploiting the information inside the degradations of selected three feature bands as the auxiliary information to guide the restoration since the selected feature bands captured fewer stains and could expose the covered information. To make the Poisson editing suitable for stain removal, the feature bands were also exploited to search for the optimal patch for the pixels in the stain region, and the searched patch was used to construct the color constraint on the original Poisson editing to ensure the restoration of the original color of paintings. Specifically, this method mainly consists of two steps: feature band selection from hyperspectral data by establishing rules and reconstruction of stain contaminated regions of RGB image with color constrained Poisson editing. Four Chinese paintings (‘Fishing’, ‘Crane and Banana’, ‘the Hui Nationality Painting’, and ‘Lotus Pond and Wild Goose’) with different color materials were used to test the performance of the proposed method. Visual results show that this method can effectively remove or dilute the stains while restoring a painting’s original colors. By comparing values of restored pixels with nonstained pixels (reference of their same color materials), images processed by the proposed method had the lowest average root mean square error (RMSE), normalized absolute error (NAE), and average differences (AD), which indicates that it is an effective method to restore the stains of Chinese paintings.

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“…Later, the open book scanning problems like illumination correction are addressed by Xu et al [5] using the multiple threshold values for segmenting the foreground region from background. Recently Ardizzone et al [22] had contributed a knowledge based architecture for virtual restoration of ancient photos using a restoration model developed based on ontology associated with a set of rules to suggest a particular action depending on the experimental data that is dynamically grown with database. Though the method works on photos well, the same efficiency is not realized on the document images containing minute objects.…”

Section: Fig 1 Noise Types That Usually Occur In Aged and Highly Dementioning

confidence: 99%

Binary Image Analysis Technique for Preprocessing of Excessively dilated characters in Aged Kannada Document Images

N¹,

Rangarajan²

2019

IJRTE

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In this paper, variety of document image enhancement techniques are applied for removal of background noise in the degraded document images. The noise removal techniques are applied on different forms of noise including nonuniform illuminations, complex stain marks, user annotations, show through effect and foxing effect. In this work, Binary Image Analysis (BIA) Technique is proposed for removal of aging degradation in ancient document images of Kannada literature. The method involves multiple phases comprising of contrast enhancement, Gaussian smoothing, binarization, morphological processing, object detection using connected component analysis and filtering followed by marginal noise removal of non-textual regions. The document samples employed for experimentation comprised of more than 175 aged and highly degraded scanned documents of old Kannada literature and poetry that are massively affected by noise and 25 images from DIBCO datasets collected across 2009 to 2017. The results of the experimentation are quite satisfactory and suitable enough for processing of document images in the subsequent stages of OCR..The experimentations are compared with some widely used approaches like Sauvola, Otsu, Gaussian. It is noticed that the proposed method outperforms other noise removal methods in terms of character retentions for extensively degraded and aged document images.

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A knowledge based architecture for the virtual restoration of ancient photos

Cited by 13 publications

References 23 publications

Ecological restoration success on the Loess Plateau of China: A qualitative and quantitative exploration based on rephotography

Ecological restoration success on the Loess Plateau of China: A qualitative and quantitative exploration based on rephotography

Virtual Restoration of Stained Chinese Paintings Using Patch-Based Color Constrained Poisson Editing with Selected Hyperspectral Feature Bands

Binary Image Analysis Technique for Preprocessing of Excessively dilated characters in Aged Kannada Document Images

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