Micro-scale searching algorithm for high-resolution image matting

Natural image matting based on pixel pair optimization is commonly employed during image post-processing. However, obtaining high-quality alpha mattes for high-resolution images via existing image matting methods is challenging as it typically requires considerable computational resources. In this p...

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Veröffentlicht in:Multimedia tools and applications 2024-04, Vol.83 (13), p.38931-38947
Hauptverfasser: Feng, Fujian, Gou, Hongshan, Liang, Yihui, Feng, Le, Tan, Mian, Huang, Han, Wang, Lin
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container_end_page 38947
container_issue 13
container_start_page 38931
container_title Multimedia tools and applications
container_volume 83
creator Feng, Fujian
Gou, Hongshan
Liang, Yihui
Feng, Le
Tan, Mian
Huang, Han
Wang, Lin
description Natural image matting based on pixel pair optimization is commonly employed during image post-processing. However, obtaining high-quality alpha mattes for high-resolution images via existing image matting methods is challenging as it typically requires considerable computational resources. In this paper, we design a novel optimization information transmission strategy that can be applied to images of different resolutions to improve the quality of the transmitted information required for evolutionary optimization. In addition, we propose a micro-scale searching matting algorithm, which allows us to obtain high-quality matting for high-resolution images with limited computational resources. To verify the applicability of the proposed algorithm for high-resolution images, experiments were conducted on the alpha matting benchmark dataset. Experimental results show that the proposed micro-scale searching matting algorithm can estimate high-quality alpha mattes without incurring excessive computational resources. Moreover, the proposed algorithm outperforms the state-of-the-art optimized matting algorithms when applied to high-resolution images.
doi_str_mv 10.1007/s11042-023-17157-0
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subjects Algorithms
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Design optimization
Editing
High resolution
Image quality
Image resolution
Mattes
Methods
Multimedia
Multimedia Information Systems
Optimization
Propagation
Search algorithms
Software
Special Purpose and Application-Based Systems
title Micro-scale searching algorithm for high-resolution image matting
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