Derivations of the Bezier curve

Páleš, Dušan; Rédl, Jozef

doi:10.15414/meraa.2016.02.01.01-07

Cited by 1 publication

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“…Due to thick generated edges having uncertainty values, the thinning process is required by implementing skeletonization [43], applying a fast parallel algorithm using two sub-iterations deleting systems, as shown in Figure 3. In solving the gap caused by an unknown area, 3 points of Bezier [44] are defined to maintain the curve position fully, as shown in Figure 4. We adopt De Castelijau's algorithm [45] in building the 3-point Bezier curve (red curve) of B 1 (x, y), B 2 (x, y), B 3 (x, y) :…”

Section: A Cohesive Laplacian Fusionmentioning

confidence: 99%

Structure-Texture Consistent Painting Completion for Artworks

Sari

2023

IEEE Access

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Image completion techniques have made rapid and impressive progress due to advancements in deep learning and traditional patch-based approaches. The surrounding regions of a hole played a crucial role in repairing missing areas during the restoration process. However, large holes could result in suboptimal restoration outcomes due to complex textures causing significant changes in color gradations. As a result, they led to errors such as color discrepancies, blurriness, artifacts, and unnatural colors. Additionally, recent image completion approaches focused mainly on scenery and face images with fewer textures. Given these observations, we present a structure-texture consistent completion approach for filling large holes with detailed textures. Our method focuses on improving image completion in the context of artworks, which are expressions of creativity and often have more diverse structures and textures from applying paint to a surface using brush strokes. To handle the unique challenges posed by artwork, we segment non-homogeneous areas and then use Cohesive Laplacian Fusion to complete the texture of the remaining missing segmented area. This technique involves detecting changes in base structures and textures using multiple matched patches to achieve more consistent results. The experimental results show that our proposed method is competitive and outperforms state-of-the-art methods in missing regions and color gradations of art paintings.

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Section: A Cohesive Laplacian Fusionmentioning

confidence: 99%

Structure-Texture Consistent Painting Completion for Artworks

Sari

2023

IEEE Access

View full text Add to dashboard Cite

show abstract

Derivations of the Bezier curve

Cited by 1 publication

References 1 publication

Structure-Texture Consistent Painting Completion for Artworks

Structure-Texture Consistent Painting Completion for Artworks

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