dor_id: 45639

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590.#.#.d: Los artículos enviados a la revista "Journal of Applied Research and Technology", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Scopus, Directory of Open Access Journals (DOAJ); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Indice de Revistas Latinoamericanas en Ciencias (Periódica); La Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (Redalyc); Consejo Nacional de Ciencia y Tecnología (CONACyT); Google Scholar Citation

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650.#.4.x: Ingenierías

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://jart.icat.unam.mx/index.php/jart

351.#.#.b: Journal of Applied Research and Technology

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

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883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

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850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/284/281

100.1.#.a: Wu, B. F.; Huang, H. Y.; Wang, J. H.; Chen, C. J.; Chen, Y. L.

524.#.#.a: Wu, B. F., et al. (2013). Perceptual Zero-Tree Coding with Efficient Optimization for Embedded Platforms. Journal of Applied Research and Technology; Vol. 11 Núm. 4. Recuperado de https://repositorio.unam.mx/contenidos/45639

245.1.0.a: Perceptual Zero-Tree Coding with Efficient Optimization for Embedded Platforms

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2013

264.#.1.c: 2013-08-01

653.#.#.a: Computational complexity; image compression; embedded system; optimization

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

884.#.#.k: https://jart.icat.unam.mx/index.php/jart/article/view/284

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041.#.7.h: eng

520.3.#.a: This study proposes a block-edge-based perceptual zero-tree coding (PZTC) method, which is implemented with efficientoptimization on the embedded platform. PZTC combines two novel compression concepts for coding efficiency and quality:block-edge detection (BED) and the low-complexity and low-memory entropy coder (LLEC). The proposed PZTC wasimplemented as a fixed-point version and optimized on the DSP-based platform based on both the presented platformindependentand platform-dependent optimization technologies. For platform-dependent optimization, this study examinesthe fixed-point PZTC and analyzes the complexity to optimize PZTC toward achieving an optimal coding efficiency.Furthermore, hardware-based platform-dependent optimizations are presented to reduce the memory size. Theperformance, such as compression quality and efficiency, is validated by experimental results.

773.1.#.t: Journal of Applied Research and Technology; Vol. 11 Núm. 4

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

310.#.#.a: Bimestral

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.1016/S1665-6423(13)71556-6

harvesting_date: 2023-11-08 13:10:00.0

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last_modified: 2024-03-19 14:00:00

license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es

license_type: by-nc-sa

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Artículo

Perceptual Zero-Tree Coding with Efficient Optimization for Embedded Platforms

Wu, B. F.; Huang, H. Y.; Wang, J. H.; Chen, C. J.; Chen, Y. L.

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

Wu, B. F., et al. (2013). Perceptual Zero-Tree Coding with Efficient Optimization for Embedded Platforms. Journal of Applied Research and Technology; Vol. 11 Núm. 4. Recuperado de https://repositorio.unam.mx/contenidos/45639

Descripción del recurso

Autor(es)
Wu, B. F.; Huang, H. Y.; Wang, J. H.; Chen, C. J.; Chen, Y. L.
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Perceptual Zero-Tree Coding with Efficient Optimization for Embedded Platforms
Fecha
2013-08-01
Resumen
This study proposes a block-edge-based perceptual zero-tree coding (PZTC) method, which is implemented with efficientoptimization on the embedded platform. PZTC combines two novel compression concepts for coding efficiency and quality:block-edge detection (BED) and the low-complexity and low-memory entropy coder (LLEC). The proposed PZTC wasimplemented as a fixed-point version and optimized on the DSP-based platform based on both the presented platformindependentand platform-dependent optimization technologies. For platform-dependent optimization, this study examinesthe fixed-point PZTC and analyzes the complexity to optimize PZTC toward achieving an optimal coding efficiency.Furthermore, hardware-based platform-dependent optimizations are presented to reduce the memory size. Theperformance, such as compression quality and efficiency, is validated by experimental results.
Tema
Computational complexity; image compression; embedded system; optimization
Idioma
eng
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

Enlaces