JOURNAL ARTICLE

Structure-Preserving Bilateral Texture Filtering

Abstract

Extracting meaningful structures from images with complicated texture patterns is challenging since it is hard to separate structure from texture of similar scale or intensity contrast. In this paper, we propose a structure-preserving bilateral texture filtering algorithm to flatten texture while preserving dominant structures. We design a new scheme, dual-scale patch toggle. That is, patches of two scales are used to represent pixels, the smaller for pixels located at structure edges and the bigger for pixels in texture regions, and then DASM (Directional Anisotropic Structure Measurement) on each pixel is estimated to determine which type of patch to represent it. The algorithm is based on the joint bilateral filtering framework, so it is fast, easy to implement, yet effective for adaptive image smoothing. In particular, our approach outperforms previous methods in terms of preserving small structures. The proposed method achieves excellent results that illustrate its effectiveness and efficiency.

Keywords:
Texture filtering Pixel Texture compression Artificial intelligence Smoothing Computer science Texture (cosmology) Computer vision Bilateral filter Image texture Pattern recognition (psychology) Scale (ratio) Image (mathematics) Algorithm Image processing

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
15
Refs
0.27
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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