Detection and Restoration of Cracked Digitized Paintings and Manuscripts using Image Processing - A Survey

Ali, Nawafil Abdulwahab Farajalla; Shaikhli, Imad Fakhri Taha Al

doi:10.31436/ijpcc.v3i2.49

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…The PSNR measures the peak signal-to-noise ratio between the images. This ratio is often used as a quality measurement between the original and repaired image [2], and is defined in Eq. ( 1) [2].…”

Section: B Descrimination Of Thin Crackmentioning

confidence: 99%

“…This ratio is often used as a quality measurement between the original and repaired image [2], and is defined in Eq. ( 1) [2].…”

Section: B Descrimination Of Thin Crackmentioning

confidence: 99%

“…The method of restoring a digitized painting image involves using image processing to restore the ancient paintings original appearance. Old artworks that have been digitally captured are restored using a variety of technology and methodologies [2].…”

Section: Introductionmentioning

confidence: 99%

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Detection And Discrimination Of Cracked Digitized Paintings Based On Image Processing Methodology

Abdulwahab,

Shaikh,

Shah

et al. 2023

2023 IEEE 8th International Conference on Engineering Technologies and Applied Sciences (ICETAS)

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With the passage of time, paintings can be damaged, and common deteriorations found in ancient paintings include cracking. Cracks can be caused by many factors, such as ageing, drying, and mechanical factors. The detection and restoration of crack formation on the earliest digitized paint surface concede great significance and safety for cultural heritages. particular, this paper is based on image processing methodology to detect and discriminate cracks. First, images are enhanced in the preprocessing stage for further processing. Then two proposed algorithms are employed to detect and separate medium and thin crack images. The experiments show better results compared with previous work. This study also confirms that the proposed image processing algorithms are an efficient and robust tool for the detection and discrimination of cracks.

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Section: B Descrimination Of Thin Crackmentioning

confidence: 99%

“…This ratio is often used as a quality measurement between the original and repaired image [2], and is defined in Eq. ( 1) [2].…”

Section: B Descrimination Of Thin Crackmentioning

confidence: 99%

See 1 more Smart Citation

Detection And Discrimination Of Cracked Digitized Paintings Based On Image Processing Methodology

Abdulwahab,

Shaikh,

Shah

et al. 2023

2023 IEEE 8th International Conference on Engineering Technologies and Applied Sciences (ICETAS)

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show abstract

“…The performance of the proposed approach was evaluated using MATLAB (2016) using the parameters MSE and PSNR calculated using equation (2):…”

Section: Simulation and Performance Evaleationmentioning

confidence: 99%

Proposed De-noising Algorithm

Ali¹,

Shaikhli²

2020

IJPCC

Self Cite

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minimizing noises from images to restore it and increase its quality is a crucial step. For this, an efficient algorithms were proposed to remove noises such as (salt pepper, Gaussian, and speckle) noises from grayscale images. The algorithm did that by selecting a window measuring 3x3 as the center of processing pixels, other algorithms did that by using median filter (MF), adopted median filter (AMF), adopted weighted filter (AWF), and the adopted weighted median filter (AWMF). The results showed that the proposed algorithm compares to previous algorithms by having a better signal-to-noise ratio (PSNR).

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Detection and Restoration of Cracked Digitized Paintings and Manuscripts using Image Processing - A Survey

Cited by 2 publications

References 6 publications

Detection And Discrimination Of Cracked Digitized Paintings Based On Image Processing Methodology

Detection And Discrimination Of Cracked Digitized Paintings Based On Image Processing Methodology

Proposed De-noising Algorithm

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