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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2017

05.08.2017

Image Compression Using Two Dimensional DCT and Least Squares Interpolation

verfasst von: Sameh A. Eisa, Waleed Lotfy

Erschienen in: Wireless Personal Communications | Ausgabe 3/2017

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Abstract

This paper introduces a new image compression method utilizing a combination of discrete cosine transform and least squares interpolation method. Presented is a discussion of the mathematical background, outline of the approach, complexity computations, pseudocode, and an explanation of how to implement the algorithm for applications that require the coded bits to be binary streams. We then provide the results, including comparisons to many recently published works. The results indicate positive progress and effectiveness of the new approach in terms of comparability to other works and applicability in real time applications.
Vorheriger Artikel A Hybrid MAC Protocol with Multi-slot Reservation for Dense Wireless Ad-Hoc Networks
Nächster Artikel Linear Prediction-Based Detection of Serially Concatenated DQPSK in SIMO-OFDM

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Metadaten
Titel
Image Compression Using Two Dimensional DCT and Least Squares Interpolation
verfasst von
Sameh A. Eisa
Waleed Lotfy
Publikationsdatum
05.08.2017
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2017
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-4750-x

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