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Image Retargeting by Texture-Aware Synthesis
- Source :
- IEEE transactions on visualization and computer graphics. 22(2)
- Publication Year :
- 2016
-
Abstract
- Real-world images usually contain vivid contents and rich textural details, which will complicate the manipulation on them. In this paper, we design a new framework based on exampled-based texture synthesis to enhance content-aware image retargeting. By detecting the textural regions in an image, the textural image content can be synthesized rather than simply distorted or cropped. This method enables the manipulation of textural & non-textural regions with different strategies since they have different natures. We propose to retarget the textural regions by example-based synthesis and non-textural regions by fast multi-operator. To achieve practical retargeting applications for general images, we develop an automatic and fast texture detection method that can detect multiple disjoint textural regions. We adjust the saliency of the image according to the features of the textural regions. To validate the proposed method, comparisons with state-of-the-art image retargeting techniques and a user study were conducted. Convincing visual results are shown to demonstrate the effectiveness of the proposed method.
- Subjects :
- Computer science
business.industry
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020207 software engineering
02 engineering and technology
Image segmentation
Computer Graphics and Computer-Aided Design
Texture (geology)
Visualization
Image texture
Seam carving
Signal Processing
Retargeting
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Computer Vision and Pattern Recognition
Artificial intelligence
business
Software
ComputingMethodologies_COMPUTERGRAPHICS
Texture synthesis
Subjects
Details
- ISSN :
- 19410506
- Volume :
- 22
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on visualization and computer graphics
- Accession number :
- edsair.doi.dedup.....5eada900bb11979483dc94b2df901961