Arbitrary Image Cloning

Fu, Xinyuan; Guo, He; Wang, Yuxin; Liu, Tianyang; Han, Li

doi:10.1007/978-0-387-72500-0_25

Cited by 3 publications

(1 citation statement)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the composition quality depends heavily on the drawn boundary and thereby demands particular user care in drawing the boundary, which is a time‐consuming process [GS09]. To address this, drag‐and‐drop pasting [JSTS06] and arbitrary cloning [FHW*08] compute an optimized boundary condition based on the drawn boundary. Unfortunately, this still requires user intervention to confirm the objects.…”

Section: Related Workmentioning

confidence: 99%

Image Composition of Partially Occluded Objects

Tan

Guo

et al. 2019

Computer Graphics Forum

View full text Add to dashboard Cite

Image composition extracts the content of interest (COI) from a source image and blends it into a target image to generate a new image. In the majority of existing works, the COI is manually extracted and then overlaid on top of the target image. However, in practice, it is often necessary to deal with situations in which the COI is partially occluded by the target image content. In this regard, both tasks of extracting the COI and cropping its occluded part require intensive user interactions, which are laborious and seriously reduce the composition efficiency. This paper addresses the aforementioned challenges by proposing an efficient image composition method. First, we extract the semantic contents of the images by using state‐of‐the‐art deep learning methods. Therefore, the COI can be selected with clicks only, which can greatly reduce the demanded user interactions. Second, according to the user's operations (such as translation or scale) on the COI, we can effectively infer the occlusion relationships between the COI and the contents of the target image. Thus, the COI can be adaptively embedded into the target image without concern about cropping its occluded part. Therefore, the procedures of content extraction and occlusion handling can be significantly simplified, and work efficiency is remarkably improved. Experimental results show that compared to existing works, our method can reduce the number of user interactions to approximately one‐tenth and increase the speed of image composition by more than ten times.

show abstract

Section: Related Workmentioning

confidence: 99%

Image Composition of Partially Occluded Objects

Tan

Guo

et al. 2019

Computer Graphics Forum

View full text Add to dashboard Cite

show abstract

Effective Re-texturing with Interactive Object Extracting

Wang

Sun

Chen

et al. 2007

2007 10th IEEE International Conference on Computer-Aided Design and Computer Graphics

View full text Add to dashboard Cite

Metallic Artifacts’ Reduction in Microtomography Using the Bone- and Soft-Tissue Decomposition Method

Juszczyk,

Pałachniak,

Piętka

2024

Sensors

View full text Add to dashboard Cite

Artifacts in computed tomography and X-ray microtomography are image distortions caused by various factors. Some can be reduced before or during the examination, while others are removed algorithmically after image acquisition. The latter group includes metallic artifacts caused by metal objects in the sample. This paper proposes a new method for eliminating metallic artifacts, applying a bone- and soft-tissue decomposition (BSTD) algorithm to microtomography raw data before the reconstruction process. We show that the decomposition algorithm can effectively remove metallic artifacts in microCT images, which increases the image contrast and allows for better visualization of regions near the metallic elements. For quantity analysis, we computed SSIM and PSNR factors, and we observed values increasing from 0.97 to 0.99 and from 40 dB to 43 dB, respectively.

show abstract

Arbitrary Image Cloning

Cited by 3 publications

References 4 publications

Image Composition of Partially Occluded Objects

Image Composition of Partially Occluded Objects

Effective Re-texturing with Interactive Object Extracting

Metallic Artifacts’ Reduction in Microtomography Using the Bone- and Soft-Tissue Decomposition Method

Contact Info

Product

Resources

About