A fast near-optimum block truncation coding method using a truncated K-means algorithm and inter-block correlation

Yang, Yupei; Chen, Qiqiang

doi:10.1016/j.aeue.2010.08.004

Cited by 10 publications

(8 citation statements)

References 14 publications

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“…El algoritmo de agrupamiento K-medias se basa en la obtención del cuadrado de la mínima distancia Euclideana [9,10,11,12], entre el grupo de datos y el centro del agrupamiento (centroide) ̅ ( ) ∶…”

Section: Método De Detección Del Umbralunclassified

Umbral adaptivo para sistemas de comunicaciones ópticas inalámbricas por medio de algoritmos de agrupamiento

Sánchez¹,

Nieto²,

Vázquez³

et al. 2015

RCS

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Resumen. Sistemas basados en modulación de intensidad y detección directa tipo OOK (Conmutación de Encendido -Apagado, o del inglés OOK: On-Off Keying). Son de uso extendido en las redes fotónicas actuales debido a su sencillez y robustez pero no son los más eficientes en términos del uso del espectro. Sistemas de modulación de intensidad multi-simbólicos como M-PAM (del inglés: M-ary Pulse Amplitud Modulation) los cuales presentan alta eficiencia espectral han sido vistos como alternativa a formatos de modulación tradicionales, sin embargo son más complejos y en ciertos casos requieren de un umbral adaptivo en aplicaciones de comunicaciones ópticas inalámbricas (COI). Se presenta en este trabajo un método de selección de umbral que utiliza algoritmos de agrupamiento basado en las K-medias y el desempeño del uso de este umbral adaptivo en sistemas COI con M-PAM, por medio del simulador Matlab® Palabras clave: K-medias, comunicaciones ópticas inalámbricas, umbral adaptivo.

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Section: Método De Detección Del Umbralunclassified

Umbral adaptivo para sistemas de comunicaciones ópticas inalámbricas por medio de algoritmos de agrupamiento

Sánchez¹,

Nieto²,

Vázquez³

et al. 2015

RCS

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“…Because of the limitations of the traditional BTC method, some improved BTC methods have been proposed to improve the image quality and the compression ratio [2]. Yang et al [3] proposed a near-optimum, accelerated BTC algorithm based on a truncated K-means algorithm that drastically reduced the computational complexity by utilizing the image inter-block correlation. An improved BTC scheme based on a set of pre-defined bit planes has also been proposed [4].…”

Section: Introductionmentioning

confidence: 99%

Content-Based Color Image Retrieval Using Block Truncation Coding Based on Binary Ant Colony Optimization

et al. 2018

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In this paper, we propose a content-based image retrieval (CBIR) approach using color and texture features extracted from block truncation coding based on binary ant colony optimization (BACOBTC). First, we present a near-optimized common bitmap scheme for BTC. Then, we convert the image to two color quantizers and a bitmap image-utilizing BACOBTC. Subsequently, the color and texture features, i.e., the color histogram feature (CHF) and the bit pattern histogram feature (BHF) are extracted to measure the similarity between a query image and the target image in the database and retrieve the desired image. The performance of the proposed approach was compared with several former image-retrieval schemes. The results were evaluated in terms of Precision-Recall and Average Retrieval Rate, and they showed that our approach outperformed the referenced approaches.

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“…Image compression is widely used in many widespread applications, such as video conferencing, video telephony, multimedia systems, processing and record keeping systems for the transmission of television images of standard and high definition, biomedicine, and other procedures. Moreover, their development is based on investing in new image compression methods research [3].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the impact of the quantizer range choice on compression and quality of the reconstructed image

2013

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In this paper an algorithm for grayscale image compression based on usage of three fixed uniform quantizers designed for discrete input samples is presented. The algorithm is based on the alternating use of these three quantizers. Number of quantization levels and quantizer range size increases from the first to the third quantizer. Experimental results show that choice of the quantizer range has an impact on system performance. While selecting a range of the first two quantizers (with a lower number of quantization levels) it is necessary to make a compromise between quality and bit rate (larger quantizer range leads to lower average bit rate but the quality of reconstructed image is also lower). It is shown that the range of the third quantizer should be set up to cover as many as possible high number of input samples making sure that the overload distortion does not become dominant.

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A fast near-optimum block truncation coding method using a truncated K-means algorithm and inter-block correlation

Cited by 10 publications

References 14 publications

Umbral adaptivo para sistemas de comunicaciones ópticas inalámbricas por medio de algoritmos de agrupamiento

Umbral adaptivo para sistemas de comunicaciones ópticas inalámbricas por medio de algoritmos de agrupamiento

Content-Based Color Image Retrieval Using Block Truncation Coding Based on Binary Ant Colony Optimization

Analysis of the impact of the quantizer range choice on compression and quality of the reconstructed image

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