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1 – 10 of 204
Open Access
Article
Publication date: 29 July 2020

Mahmood Al-khassaweneh and Omar AlShorman

In the big data era, image compression is of significant importance in today’s world. Importantly, compression of large sized images is required for everyday tasks; including…

1119

Abstract

In the big data era, image compression is of significant importance in today’s world. Importantly, compression of large sized images is required for everyday tasks; including electronic data communications and internet transactions. However, two important measures should be considered for any compression algorithm: the compression factor and the quality of the decompressed image. In this paper, we use Frei-Chen bases technique and the Modified Run Length Encoding (RLE) to compress images. The Frei-Chen bases technique is applied at the first stage in which the average subspace is applied to each 3 × 3 block. Those blocks with the highest energy are replaced by a single value that represents the average value of the pixels in the corresponding block. Even though Frei-Chen bases technique provides lossy compression, it maintains the main characteristics of the image. Additionally, the Frei-Chen bases technique enhances the compression factor, making it advantageous to use. In the second stage, RLE is applied to further increase the compression factor. The goal of using RLE is to enhance the compression factor without adding any distortion to the resultant decompressed image. Integrating RLE with Frei-Chen bases technique, as described in the proposed algorithm, ensures high quality decompressed images and high compression rate. The results of the proposed algorithms are shown to be comparable in quality and performance with other existing methods.

Details

Applied Computing and Informatics, vol. 20 no. 1/2
Type: Research Article
ISSN: 2634-1964

Keywords

Content available
Article
Publication date: 9 March 2010

Emma Angus

160

Abstract

Details

Library Hi Tech, vol. 28 no. 1
Type: Research Article
ISSN: 0737-8831

Keywords

Content available
Article
Publication date: 23 October 2009

Luis Herrera

92

Abstract

Details

Library Management, vol. 30 no. 8/9
Type: Research Article
ISSN: 0143-5124

Keywords

Open Access
Article
Publication date: 21 June 2024

Francesco Bandinelli, Martina Scapin and Lorenzo Peroni

Finite element (FE) analysis can be used for both design and verification of components. In the case of 3D-printed materials, a proper characterization of properties, accounting…

406

Abstract

Purpose

Finite element (FE) analysis can be used for both design and verification of components. In the case of 3D-printed materials, a proper characterization of properties, accounting for anisotropy and raster angles, can help develop efficient material models. This study aims to use compression tests to characterize short carbon-reinforced PA12 made by fused filament fabrication (FFF) and to model its behaviour by the FE method.

Design/methodology/approach

In this work, the authors focus on compression tests, using post-processed specimens to overcome external defects introduced by the FFF process. The material’s elastoplastic mechanical behaviour is modelled by an elastic stiffness matrix, Hill’s anisotropic yield criterion and Voce’s isotropic hardening law, considering the stacking sequence of raster angles. A FE analysis is conducted to reproduce the material’s compressive behaviour through the LS-DYNA software.

Findings

The proposed model can capture stress values at different deformation levels and peculiar aspects of deformed shapes until the onset of damage mechanisms. Deformation and damage mechanisms are strictly correlated to orientation and raster angle.

Originality/value

The paper aims to contribute to the understanding of 3D-printed material’s behaviour through compression tests on bulk 3D-printed material. The methodology proposed, enriched with an anisotropic damage criterion, could be effectively used for design and verification purposes in the field of 3D-printed components through FE analysis.

Details

Rapid Prototyping Journal, vol. 30 no. 11
Type: Research Article
ISSN: 1355-2546

Keywords

Content available
Article
Publication date: 1 February 2004

Monica Blake

61

Abstract

Details

The Electronic Library, vol. 22 no. 1
Type: Research Article
ISSN: 0264-0473

Content available
Article
Publication date: 1 September 2001

Jonathan Rigelsford

230

Abstract

Details

Sensor Review, vol. 21 no. 3
Type: Research Article
ISSN: 0260-2288

Keywords

Content available
Article
Publication date: 7 August 2009

Philip Calvert

140

Abstract

Details

The Electronic Library, vol. 27 no. 4
Type: Research Article
ISSN: 0264-0473

Keywords

Content available
Article
Publication date: 29 March 2011

Zhenyu Du

1830

Abstract

Details

Sensor Review, vol. 31 no. 2
Type: Research Article
ISSN: 0260-2288

Abstract

Details

Kybernetes, vol. 29 no. 3
Type: Research Article
ISSN: 0368-492X

Content available
Article
Publication date: 14 August 2007

Surithong Srisa‐ard

470

Abstract

Details

Online Information Review, vol. 31 no. 4
Type: Research Article
ISSN: 1468-4527

Keywords

1 – 10 of 204