An improved exemplar-based image repairing algorithm

Kuo, Tien-Ying; Kuan, Yun-Ping; Wan, Kuan-Hung; Wang, Yu-Shuo; Cheng, Yu‐Chieh

doi:10.1109/icme.2017.8019405

Cited by 3 publications

(7 citation statements)

References 10 publications

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“…The method does not perform well for the image containing different color and texture. Another approach [14] modified the mechanism of determining inpainting point priorities. The method first divides the target region into structure and smooth type region.…”

Section: Modifications In Priority Termmentioning

confidence: 99%

“…Comparing two patches by considering edge information would lead to better results for best patch. Hence, authors of [14] introduced weighted edge information SAD to the traditional SAD calculation. All the above methods compare two patches at pixel level.…”

Section: Variation In Patch Selectionmentioning

confidence: 99%

“…For one vector, l i = p 1 , p 2 , … , p (8 * i−1) , p (8 * i) are the pixels in the vector. The similarity can be measured with the function given as (14) where ROR(̂q, s) is defined as (15) and num i is defined as (16).…”

Section: Variation In Patch Selectionmentioning

confidence: 99%

“…If there is linear change in surrounding of the pixel, the absolute value of the curvature will be smaller and so the priority of the patch would be higher. Authors of [14] presented the mechanism for determining inpainting point priority. In the traditional exemplar method, regions with different structures may be assigned low priority value due to low confidence term or vice versa.…”

Section: Introductionmentioning

confidence: 99%

“…The sum of absolute difference (SAD) ignores the edge sensitivity of human visual system (HVS). Hence, edge information SAD was introduced [14]. The results are shown in figure. All the above methods compare two patches at pixel level.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A qualitative study of Exemplar based Image Inpainting

Shroff

Bombaywala

2019

SN Appl. Sci.

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Image inpainting is exploring the way of filling the missing or left out regions in an image by only having knowledge of surrounding pixel values. One of the block matching algorithms use for image inpainting is exemplar based technique. Exemplar based image inpainting method search the best matching patch for the target region in the image and when it is obtained, the pixel values are copied from the source region and pasted to the target region. The selections of different patch matching criteria, patch size and filling order have a great affect on the results. This paper describes some of the variations in traditional exemplar method which include change in patch selection, priority, patch size and multiresolution inpainting. The advantages and drawbacks for the modified methods are also discussed here.

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Section: Modifications In Priority Termmentioning

confidence: 99%

Section: Variation In Patch Selectionmentioning

confidence: 99%

Section: Variation In Patch Selectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A qualitative study of Exemplar based Image Inpainting

Shroff

Bombaywala

2019

SN Appl. Sci.

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An efficient texture-structure conserving patch matching algorithm for inpainting mural images

Bhele¹,

Shriramwar²,

Agarkar³

2023

Multimed Tools Appl

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Deformable Object Removal via Exemplar-Based Algorithm for 3d Model of Heritage Structures

Buatik¹

2021

GEOMATE

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Heritage structures are important for tourism and for learning about nations' history. Historical sites around the world are in damaged conditions due to various factors from the environment, man-made activities or natural calamities. To ensure safety and avoid further deterioration, digital reconstruction of heritage sites can be used to create 3D virtual models of these structures for archiving and for inspection purpose. This paper presents a technique to reconstruct a high-quality image-based 3D model of a heritage structure. An exemplar-based inpainting algorithm was used for removing deformable obstacles such as trees in 2D images since such obstacles are unwanted in a final 3D model. They also create noise in the 3D modeling process, which makes the final 3D model less accurate. In this paper, an inpainting algorithm is applied to generate implied texture to fill holes that occurred from removing objects so that the generated 3D model does not contain any hole and becomes watertight. The modified exemplar-based inpainting algorithm was implemented on 2D images to remove unwanted objects, and then the image-based 3D modeling technique was applied to create a 3D model that did not contain any unwanted objects. The results show that the final 3D model is more accurate when applied the object removal process and the model provides better visualization for heritage structures.

show abstract

An improved exemplar-based image repairing algorithm

Cited by 3 publications

References 10 publications

A qualitative study of Exemplar based Image Inpainting

A qualitative study of Exemplar based Image Inpainting

An efficient texture-structure conserving patch matching algorithm for inpainting mural images

Deformable Object Removal via Exemplar-Based Algorithm for 3d Model of Heritage Structures

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