The Experts below are selected from a list of 101541 Experts worldwide ranked by ideXlab platform
Nouri Masmoudi - One of the best experts on this subject based on the ideXlab platform.
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ICISP - An Adaptive Block-Based Histogram Packing for Improving the Compression Performance of JPEG-LS for Images with Sparse and Locally Sparse Histograms
Lecture Notes in Computer Science, 2018Co-Authors: Souha Jallouli, Sonia Zouari, Nouri Masmoudi, Atef MasmoudiAbstract:In this paper, we propose a new adaptive block-based histogram packing for lossless Compression of images with sparse and locally sparse histograms. JPEG-LS provides an efficient lossless Compression at a reasonable complexity. However, its efficiency is severely affected when encoding images or blocks containing only a subset of the possible values from the nominal alphabet. The aim of this work is to improve the Compression Performance of JPEG-LS by introducing a preprocessing technique that leads to improvements. Results of its effectiveness are presented.
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a preprocessing technique for improving the Compression Performance of jpeg 2000 for images with sparse or locally sparse histograms
European Signal Processing Conference, 2017Co-Authors: Souha Jallouli, Sonia Zouari, Atef Masmoudi, William Puech, Nouri MasmoudiAbstract:JPEG 2000 is one of the most efficient and well performing standards for continuous-tone natural images Compression. However, a Compression Performance loss may occur when encoding images with sparse or locally sparse histograms. Images of the later type include only a subset of the available intensity values implied by the nominal alphabet. This article proposes a new adaptive block-based histogram packing which improves the lossless Compression Performance of JPEG 2000 with sparse histogram images. We take advantage, in this work, of the strength likelihood between symbol sets of the neighboring image blocks and the efficiency of the offline histogram packing with sparse or locally sparse histogram images. Results of its effectiveness with JPEG 2000 are presented.
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EUSIPCO - A preprocessing technique for improving the Compression Performance of JPEG 2000 for images with sparse or locally sparse histograms
2017 25th European Signal Processing Conference (EUSIPCO), 2017Co-Authors: Souha Jallouli, Sonia Zouari, Atef Masmoudi, William Puech, Nouri MasmoudiAbstract:JPEG 2000 is one of the most efficient and well performing standards for continuous-tone natural images Compression. However, a Compression Performance loss may occur when encoding images with sparse or locally sparse histograms. Images of the later type include only a subset of the available intensity values implied by the nominal alphabet. This article proposes a new adaptive block-based histogram packing which improves the lossless Compression Performance of JPEG 2000 with sparse histogram images. We take advantage, in this work, of the strength likelihood between symbol sets of the neighboring image blocks and the efficiency of the offline histogram packing with sparse or locally sparse histogram images. Results of its effectiveness with JPEG 2000 are presented.
Souha Jallouli - One of the best experts on this subject based on the ideXlab platform.
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ICISP - An Adaptive Block-Based Histogram Packing for Improving the Compression Performance of JPEG-LS for Images with Sparse and Locally Sparse Histograms
Lecture Notes in Computer Science, 2018Co-Authors: Souha Jallouli, Sonia Zouari, Nouri Masmoudi, Atef MasmoudiAbstract:In this paper, we propose a new adaptive block-based histogram packing for lossless Compression of images with sparse and locally sparse histograms. JPEG-LS provides an efficient lossless Compression at a reasonable complexity. However, its efficiency is severely affected when encoding images or blocks containing only a subset of the possible values from the nominal alphabet. The aim of this work is to improve the Compression Performance of JPEG-LS by introducing a preprocessing technique that leads to improvements. Results of its effectiveness are presented.
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a preprocessing technique for improving the Compression Performance of jpeg 2000 for images with sparse or locally sparse histograms
European Signal Processing Conference, 2017Co-Authors: Souha Jallouli, Sonia Zouari, Atef Masmoudi, William Puech, Nouri MasmoudiAbstract:JPEG 2000 is one of the most efficient and well performing standards for continuous-tone natural images Compression. However, a Compression Performance loss may occur when encoding images with sparse or locally sparse histograms. Images of the later type include only a subset of the available intensity values implied by the nominal alphabet. This article proposes a new adaptive block-based histogram packing which improves the lossless Compression Performance of JPEG 2000 with sparse histogram images. We take advantage, in this work, of the strength likelihood between symbol sets of the neighboring image blocks and the efficiency of the offline histogram packing with sparse or locally sparse histogram images. Results of its effectiveness with JPEG 2000 are presented.
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EUSIPCO - A preprocessing technique for improving the Compression Performance of JPEG 2000 for images with sparse or locally sparse histograms
2017 25th European Signal Processing Conference (EUSIPCO), 2017Co-Authors: Souha Jallouli, Sonia Zouari, Atef Masmoudi, William Puech, Nouri MasmoudiAbstract:JPEG 2000 is one of the most efficient and well performing standards for continuous-tone natural images Compression. However, a Compression Performance loss may occur when encoding images with sparse or locally sparse histograms. Images of the later type include only a subset of the available intensity values implied by the nominal alphabet. This article proposes a new adaptive block-based histogram packing which improves the lossless Compression Performance of JPEG 2000 with sparse histogram images. We take advantage, in this work, of the strength likelihood between symbol sets of the neighboring image blocks and the efficiency of the offline histogram packing with sparse or locally sparse histogram images. Results of its effectiveness with JPEG 2000 are presented.
Atef Masmoudi - One of the best experts on this subject based on the ideXlab platform.
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ICISP - An Adaptive Block-Based Histogram Packing for Improving the Compression Performance of JPEG-LS for Images with Sparse and Locally Sparse Histograms
Lecture Notes in Computer Science, 2018Co-Authors: Souha Jallouli, Sonia Zouari, Nouri Masmoudi, Atef MasmoudiAbstract:In this paper, we propose a new adaptive block-based histogram packing for lossless Compression of images with sparse and locally sparse histograms. JPEG-LS provides an efficient lossless Compression at a reasonable complexity. However, its efficiency is severely affected when encoding images or blocks containing only a subset of the possible values from the nominal alphabet. The aim of this work is to improve the Compression Performance of JPEG-LS by introducing a preprocessing technique that leads to improvements. Results of its effectiveness are presented.
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a preprocessing technique for improving the Compression Performance of jpeg 2000 for images with sparse or locally sparse histograms
European Signal Processing Conference, 2017Co-Authors: Souha Jallouli, Sonia Zouari, Atef Masmoudi, William Puech, Nouri MasmoudiAbstract:JPEG 2000 is one of the most efficient and well performing standards for continuous-tone natural images Compression. However, a Compression Performance loss may occur when encoding images with sparse or locally sparse histograms. Images of the later type include only a subset of the available intensity values implied by the nominal alphabet. This article proposes a new adaptive block-based histogram packing which improves the lossless Compression Performance of JPEG 2000 with sparse histogram images. We take advantage, in this work, of the strength likelihood between symbol sets of the neighboring image blocks and the efficiency of the offline histogram packing with sparse or locally sparse histogram images. Results of its effectiveness with JPEG 2000 are presented.
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EUSIPCO - A preprocessing technique for improving the Compression Performance of JPEG 2000 for images with sparse or locally sparse histograms
2017 25th European Signal Processing Conference (EUSIPCO), 2017Co-Authors: Souha Jallouli, Sonia Zouari, Atef Masmoudi, William Puech, Nouri MasmoudiAbstract:JPEG 2000 is one of the most efficient and well performing standards for continuous-tone natural images Compression. However, a Compression Performance loss may occur when encoding images with sparse or locally sparse histograms. Images of the later type include only a subset of the available intensity values implied by the nominal alphabet. This article proposes a new adaptive block-based histogram packing which improves the lossless Compression Performance of JPEG 2000 with sparse histogram images. We take advantage, in this work, of the strength likelihood between symbol sets of the neighboring image blocks and the efficiency of the offline histogram packing with sparse or locally sparse histogram images. Results of its effectiveness with JPEG 2000 are presented.
Sonia Zouari - One of the best experts on this subject based on the ideXlab platform.
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ICISP - An Adaptive Block-Based Histogram Packing for Improving the Compression Performance of JPEG-LS for Images with Sparse and Locally Sparse Histograms
Lecture Notes in Computer Science, 2018Co-Authors: Souha Jallouli, Sonia Zouari, Nouri Masmoudi, Atef MasmoudiAbstract:In this paper, we propose a new adaptive block-based histogram packing for lossless Compression of images with sparse and locally sparse histograms. JPEG-LS provides an efficient lossless Compression at a reasonable complexity. However, its efficiency is severely affected when encoding images or blocks containing only a subset of the possible values from the nominal alphabet. The aim of this work is to improve the Compression Performance of JPEG-LS by introducing a preprocessing technique that leads to improvements. Results of its effectiveness are presented.
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a preprocessing technique for improving the Compression Performance of jpeg 2000 for images with sparse or locally sparse histograms
European Signal Processing Conference, 2017Co-Authors: Souha Jallouli, Sonia Zouari, Atef Masmoudi, William Puech, Nouri MasmoudiAbstract:JPEG 2000 is one of the most efficient and well performing standards for continuous-tone natural images Compression. However, a Compression Performance loss may occur when encoding images with sparse or locally sparse histograms. Images of the later type include only a subset of the available intensity values implied by the nominal alphabet. This article proposes a new adaptive block-based histogram packing which improves the lossless Compression Performance of JPEG 2000 with sparse histogram images. We take advantage, in this work, of the strength likelihood between symbol sets of the neighboring image blocks and the efficiency of the offline histogram packing with sparse or locally sparse histogram images. Results of its effectiveness with JPEG 2000 are presented.
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EUSIPCO - A preprocessing technique for improving the Compression Performance of JPEG 2000 for images with sparse or locally sparse histograms
2017 25th European Signal Processing Conference (EUSIPCO), 2017Co-Authors: Souha Jallouli, Sonia Zouari, Atef Masmoudi, William Puech, Nouri MasmoudiAbstract:JPEG 2000 is one of the most efficient and well performing standards for continuous-tone natural images Compression. However, a Compression Performance loss may occur when encoding images with sparse or locally sparse histograms. Images of the later type include only a subset of the available intensity values implied by the nominal alphabet. This article proposes a new adaptive block-based histogram packing which improves the lossless Compression Performance of JPEG 2000 with sparse histogram images. We take advantage, in this work, of the strength likelihood between symbol sets of the neighboring image blocks and the efficiency of the offline histogram packing with sparse or locally sparse histogram images. Results of its effectiveness with JPEG 2000 are presented.
De-yi Wang - One of the best experts on this subject based on the ideXlab platform.
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Influence of the Characteristics of Expandable Graphite on the Morphology, Thermal Properties, Fire Behaviour and Compression Performance of a Rigid Polyurethane Foam
Polymers, 2019Co-Authors: Pablo Acuña, Mercedes Santiago-calvo, Fernando Villafañe, Miguel Angel Rodriguez-perez, De-yi WangAbstract:Three types of expandable graphite (EG) differing in particle size and expansion volume, are compared as flame retardant additives to rigid polyurethane foams (RPUFs). In this paper we discuss microstructure, thermal stability, fire behavior, and Compression Performance. We find that ell size distributions were less homogeneous and cell size was reduced. Furthermore, thermal conductivity increased along with EG loading. Thermogravimetric analysis (TGA) showed that EG only increased residue yield differently. The results indicate that a higher expansion of EG increased the limiting oxygen index (LOI) value, whereas a bigger particle size EG improved the rating of the vertical burning test (UL94). Results from the cone calorimeter test showed that a bigger particle size EG effectively reduced peak of heat release rate (pHRR). Furthermore, a higher expansion, led to a decrease in smoke production (TSP). The combination of both characteristics gives extraordinary results. The physical–mechanical characterization of the EG/RPUF foams revealed that their Compression Performance decreased slightly, mostly due to the effect of a bigger size EG.
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Influence of the characteristics of expandable graphite on the morphology, thermal properties, fire behaviour and Compression Performance of a rigid polyurethane foam
'MDPI AG', 2019Co-Authors: Acuña Pablo, Li Zhi, Santiago Calvo Mercerdes, Villafañe González Fernando, Rodríguez Pérez, Miguel Ángel, De-yi WangAbstract:Producción CientíficaThree types of expandable graphite (EG) differing in particle size and expansion volume, are compared as flame retardant additives to rigid polyurethane foams (RPUFs). In this paper we discuss microstructure, thermal stability, fire behavior, and Compression Performance. We find that ell size distributions were less homogeneous and cell size was reduced. Furthermore, thermal conductivity increased along with EG loading. Thermogravimetric analysis (TGA) showed that EG only increased residue yield differently. The results indicate that a higher expansion of EG increased the limiting oxygen index (LOI) value, whereas a bigger particle size EG improved the rating of the vertical burning test (UL94). Results from the cone calorimeter test showed that a bigger particle size EG effectively reduced peak of heat release rate (pHRR). Furthermore, a higher expansion, led to a decrease in smoke production (TSP). The combination of both characteristics gives extraordinary results. The physical–mechanical characterization of the EG/RPUF foams revealed that their Compression Performance decreased slightly, mostly due to the effect of a bigger size EG.Ministerio de Economía, Industria y Competitividad - Fondo Europeo de Desarrollo Regional (projects RTC-2015-3340-3 and RYC-2012-10737
