Distinguishing Structures from Textures by Patch‐based Contrasts around Pixels for High‐quality and Efficient Texture filtering

Abstract It is still challenging with existing methods to distinguish structures from texture details, and so preventing texture filtering. Considering that the textures on both sides of a structural edge always differ much from each other in appearances, we determine whether a pixel is on a structure edge by exploiting the appearance contrast between patches around the pixel, and further propose an efficient implementation method. We demonstrate that our proposed method is more effective than existing methods to distinguish structures from texture details, and our required patches for texture measurement can be smaller than the used patches in existing methods by at least half. Thus, we can improve texture filtering on both quality and efficiency, as shown by the experimental results, e.g., we can handle the textured images with a resolution of 800 × 600 pixels in real‐time. (The code is available at https://github.com/hefengxiyulu/MLPC )

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Publication Details

Journal
Computer Graphics Forum
Published
2024-10-01
DOI
https://doi.org/10.1111/cgf.15212
Primary Topic
Visual Attention and Saliency Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Distinguishing Structures from Textures by Patch‐based Contrasts around Pixels for High‐quality and Efficient Texture filtering

Fei Hou, Wencheng Wang, Panpan Xu, Shengchun Wang et al.
Computer Graphics Forum
Visual Attention and Saliency Detection
article

Distinguishing Structures from Textures by Patch‐based Contrasts around Pixels for High‐quality and Efficient Texture filtering

Fei Hou, Wencheng Wang, Panpan Xu, Shengchun Wang, Chong Zhao
article en

Abstract

Abstract It is still challenging with existing methods to distinguish structures from texture details, and so preventing texture filtering. Considering that the textures on both sides of a structural edge always differ much from each other in appearances, we determine whether a pixel is on a structure edge by exploiting the appearance contrast between patches around the pixel, and further propose an efficient implementation method. We demonstrate that our proposed method is more effective than existing methods to distinguish structures from texture details, and our required patches for texture measurement can be smaller than the used patches in existing methods by at least half. Thus, we can improve texture filtering on both quality and efficiency, as shown by the experimental results, e.g., we can handle the textured images with a resolution of 800 × 600 pixels in real‐time. (The code is available at https://github.com/hefengxiyulu/MLPC )

Computer Graphics ForumVol. 43(7)
Zero to Three (US), Institute of Software (CN), University of Chinese Academy of Sciences (CN), State Key Laboratory of Computer Science
International Society for Computer Aided Surgery, National Natural Science Foundation of China
Openalex Percentile: Top 81%
Visual Attention and Saliency Detection
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Distinguishing Structures from Textures by Patch‐based Contrasts around Pixels for High‐quality and Efficient Texture filtering — Fei Hou, Wencheng Wang, et al. · Computer Graphics Forum (2024) | TGRS Research Map | TGRS