A review on the application of fuzzy transform in data and image compression

被引：20

作者：

Hurtik, Petr ^{[1
]}

Tomasiello, Stefania ^{[2
]}

机构：

[1] Univ Ostrava, Inst Res & Applicat Fuzzy Modeling, Ctr Excellence IT4Innovat, 30 Dubna 22, Ostrava, Czech Republic

[2] Univ Salerno, Consorzio Ric Sistemi Agenti CORISA, Via Giovanni Paolo II,132, I-84084 Fisciano, SA, Italy

来源：

SOFT COMPUTING | 2019年 / 23卷 / 23期

关键词：

F-transform; Data compression; Image compression; Fuzzy partition; F-TRANSFORM; DECOMPRESSION; BANDWIDTH; ALGORITHM; PROFILE;

D O I：

10.1007/s00500-019-03816-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fuzzy transform is a relatively recent fuzzy approximation method, mainly used for image and general data processing. Due to the growing interest in the application of fuzzy transform over the last years, it seems proper providing a review of the technique. In this paper, we recall F-transform-based compression methods for data and images. The related works are examined, their motivations are explained, and the theoretical foundations are described. To test practical abilities of the related works, benchmark with emphasis to quality and processing time is established and the corresponding graphs are commented.

引用

页码：12641 / 12653

页数：13

共 57 条

[1] Improving Energy Efficiency in QoS-Constrained Wireless Sensor Networks [J].

Abdelaal, Mohamed ;

Theel, Oliver ;

Kuka, Christian ;

Zhang, Peilin ;

Gao, Yang ;

Bashlovkina, Vasilisa ;

Nicklas, Daniela ;

Fraenzle, Martin .

INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2016,

[2]

Abdelaal M, 2013, 2013 IEEE CONFERENCE ON WIRELESS SENSOR (ICWISE), P124, DOI 10.1109/ICWISE.2013.6728793

[3]

Alikhani R, 2017, SOFT COMPUT, V21, P3567, DOI 10.1007/s00500-017-2637-0

[4]

[Anonymous], P 12 INT C INF PROC

[5]

[Anonymous], 2013, STUDIES FUZZINESS SO

[6]

[Anonymous], P 19 IR C EL ENG ICE

[7]

[Anonymous], 2014, DISCRETE COSINE TRAN

[8]

Antia H., 2002, NUMERICAL METHODS SC

[9] FuzzyCAT: A Novel Procedure for Refining the F-transform Based Sensor Data Compression [J].

Bashlovkina, Vasilisa ;

Abdelaal, Mohamed ;

Theel, Oliver .

IPSN'15: PROCEEDINGS OF THE 14TH INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS, 2015, :340-341

[10] Approximation properties of fuzzy transforms [J].

Bede, Barnabas ;

Rudas, Imre J. .

FUZZY SETS AND SYSTEMS, 2011, 180 (01) :20-40

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