An Efficient Scratches Detection and Inpainting Algorithm for Old Film Restoration

Zhang, Hongying; Wu, Yue; Zhonglin, Kuang

doi:10.1109/itcs.2009.24

Cited by 12 publications

(4 citation statements)

References 5 publications

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“…In some frames of video, scratch lines are a common defect. These damages occur as a result of the transport of the film or the developing process [2]. These scratches are vertical lines with a width of 3 to 10 pixels.…”

Section: A Scratch Removing Methodsmentioning

confidence: 99%

“…These scratches are vertical lines with a width of 3 to 10 pixels. In [2], Hongying et al proposed a method that could detect the lost pixels by highlighting the scratch regions, and after that, by using the p-Laplace operator, lost pixels are predicted. In some images, an object is selected to remove for example omitting eyeglasses from the frontal face image.…”

Section: A Scratch Removing Methodsmentioning

confidence: 99%

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Image Inpainting by Multiscale Spline Interpolation

Ghorbanzade

Nabizadeh

Karimi

et al. 2020

2020 28th Iranian Conference on Electrical Engineering (ICEE)

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Recovering the missing regions of an image is a task that is called image inpainting. Depending on the shape of missing areas, different methods are presented in the literature. One of the challenges of this problem is extracting features that lead to better results. Experimental results show that both global and local features are useful for this purpose. In this paper, we propose a multi-scale image inpainting method that utilizes both local and global features. The first step of this method is to determine how many scales we need to use, which depends on the width of the lines in the map of the missing region. Then we apply adaptive image inpainting to the damaged areas of the image, and the lost pixels are predicted. Each scale is inpainted and the result is resized to the original size. Then a voting process produces the final result. The proposed method is tested on damaged images with scratches and creases. The metric that we use to evaluate our approach is PSNR. On average, we achieved 1.2 dB improvement over some existing inpainting approaches.

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Section: A Scratch Removing Methodsmentioning

confidence: 99%

Section: A Scratch Removing Methodsmentioning

confidence: 99%

Image Inpainting by Multiscale Spline Interpolation

Ghorbanzade

Nabizadeh

Karimi

et al. 2020

2020 28th Iranian Conference on Electrical Engineering (ICEE)

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show abstract

“…Traditional approaches [11,16,21,35] focus on removing the structured artifacts with a detection network followed by an inpainting pipeline, but these works rely on hand-crafted features without a semantic understanding of the video content, which limits their inpainting effects. Moreover, focusing on structured defects while ignoring photometric degradations (e.g., blurriness and noises) makes their overall restoration results less appealing.…”

Section: Old Film Restorationmentioning

confidence: 99%

Bringing Old Films Back to Life

Wan¹,

Zhang²,

Chen³

et al. 2022

Preprint

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“…A damaged region is also filled by using dynamic weighted kernels [7]. An inpainting algorithm based on P-laplace operator [10] is used to fill the missing data. Use of direct median filter for restoration does not give better result as some degradation is always present in the image after restoration.…”

Section: Introductionmentioning

confidence: 99%

Line scratch restoration using flow vectors of spatio-temporal video cube

Kumar

Gupta

Venkatesh

2014

2014 Annual IEEE India Conference (INDICON)

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Line scratch is a prominent artefact in old films. In this paper, restoration of line scratch is proposed using spatio -temporal video cube. Video is considered as a cube and we assume that , and are three flow directions of frames , and respectively. Vertical and horizontal line scratch is a line of some width in frame, but it appears as a rectangular patch in or frame. Such type of patches produce a discontinuity in the flow vector of these frames. Restoration method is divided into two steps. In the first step the discontinuity in flow vector is smoothed by applying a moving average filter and corrupted pixels in the patch area are recovered by transforming the backward and forward frames. Most of the missing data is recovered by this approach. A median filter is then applied on the scratch location of frame for smoothing the pixels. The proposed spatio-temporal technique has removed vertical and horizontal line scratches in old film video. The comparison of the proposed algorithm with existing methods validates the improved performance of our result.

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An Efficient Scratches Detection and Inpainting Algorithm for Old Film Restoration

Cited by 12 publications

References 5 publications

Image Inpainting by Multiscale Spline Interpolation

Image Inpainting by Multiscale Spline Interpolation

Bringing Old Films Back to Life

Line scratch restoration using flow vectors of spatio-temporal video cube

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