Inverse texture synthesis in wavelet packet trees

Inverse texture synthesis (ITS) plays an important role in many computer vision applications. It aims at generating small compaction images to capture significant features of textures, from which arbitrarily large images with similar textures can be re‐synthesised. This study presents a fast approac...

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Main Authors: Hsi‐Chin Hsin, Tze‐Yun Sung
Format: Article
Language:English
Published: Wiley 2015-04-01
Series:IET Computer Vision
Subjects:
Online Access:https://doi.org/10.1049/iet-cvi.2013.0262
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author Hsi‐Chin Hsin
Tze‐Yun Sung
author_facet Hsi‐Chin Hsin
Tze‐Yun Sung
author_sort Hsi‐Chin Hsin
collection DOAJ
description Inverse texture synthesis (ITS) plays an important role in many computer vision applications. It aims at generating small compaction images to capture significant features of textures, from which arbitrarily large images with similar textures can be re‐synthesised. This study presents a fast approach to ITS with two algorithms developed in hierarchical wavelet packet (WP) trees: the modified inverse texture synthesis (MITS) algorithm, which extends the ITS algorithm into the WP domain, and the wavelet‐packet‐tree‐based cropping (WPTC) algorithm for the initialisation of MITS. Experimental results show that the combination of WPTC and MITS termed the image compaction in wavelet packet trees algorithm outperforms the ITS algorithm in terms of the ‘peak signal‐to‐noise ratio’ and computation time.
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spelling doaj.art-813df41dea694a84b3f77c2dd393a6f52023-09-15T09:37:33ZengWileyIET Computer Vision1751-96321751-96402015-04-019219820710.1049/iet-cvi.2013.0262Inverse texture synthesis in wavelet packet treesHsi‐Chin Hsin0Tze‐Yun Sung1Department of Computer Science and Information EngineeringNational United UniversityMiaoli36003TaiwanDepartment of Electronics EngineeringChung‐Hua UniversityHsinchuTaiwanInverse texture synthesis (ITS) plays an important role in many computer vision applications. It aims at generating small compaction images to capture significant features of textures, from which arbitrarily large images with similar textures can be re‐synthesised. This study presents a fast approach to ITS with two algorithms developed in hierarchical wavelet packet (WP) trees: the modified inverse texture synthesis (MITS) algorithm, which extends the ITS algorithm into the WP domain, and the wavelet‐packet‐tree‐based cropping (WPTC) algorithm for the initialisation of MITS. Experimental results show that the combination of WPTC and MITS termed the image compaction in wavelet packet trees algorithm outperforms the ITS algorithm in terms of the ‘peak signal‐to‐noise ratio’ and computation time.https://doi.org/10.1049/iet-cvi.2013.0262computer vision applicationstexture featureshierarchical wavelet packetWP treesmodified inverse texture synthesisMITS algorithm
spellingShingle Hsi‐Chin Hsin
Tze‐Yun Sung
Inverse texture synthesis in wavelet packet trees
IET Computer Vision
computer vision applications
texture features
hierarchical wavelet packet
WP trees
modified inverse texture synthesis
MITS algorithm
title Inverse texture synthesis in wavelet packet trees
title_full Inverse texture synthesis in wavelet packet trees
title_fullStr Inverse texture synthesis in wavelet packet trees
title_full_unstemmed Inverse texture synthesis in wavelet packet trees
title_short Inverse texture synthesis in wavelet packet trees
title_sort inverse texture synthesis in wavelet packet trees
topic computer vision applications
texture features
hierarchical wavelet packet
WP trees
modified inverse texture synthesis
MITS algorithm
url https://doi.org/10.1049/iet-cvi.2013.0262
work_keys_str_mv AT hsichinhsin inversetexturesynthesisinwaveletpackettrees
AT tzeyunsung inversetexturesynthesisinwaveletpackettrees