The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
O método de avaliação da qualidade da imagem é uma metodologia que mede a diferença de qualidade entre a imagem de referência e a distorcida. Neste artigo, propomos um novo método de avaliação de qualidade de referência reduzida (RR) para imagens compactadas JPEG-2000, que explora as características estatísticas da informação de contexto extraída através de decodificação ou decodificação de entropia parcial. Essas características estatísticas obtidas no processo de codificação JPEG-2000 são transmitidas ao receptor como informações secundárias e usadas para estimar a qualidade das imagens transmitidas por vários canais ruidosos no lado da descompressão. Na estrutura do JPEG-2000, o contexto de um coeficiente atual é determinado dependendo do padrão de significância e/ou do sinal de seus vizinhos em três passagens de codificação de plano de bits e quatro modos de codificação. Como a informação de contexto representa a propriedade local das imagens, ela pode descrever com eficiência o padrão texturizado e a orientação das bordas. A qualidade das imagens transmitidas é medida pela diferença de entropia das informações de contexto entre as imagens recebidas e as originais. Além disso, o método de avaliação de qualidade proposto pode processar diretamente as imagens no domínio compactado JPEG-2000 sem descompressão total. Portanto, nossa proposta pode acelerar o trabalho de avaliação da qualidade da imagem. Através de simulações, demonstramos que nosso método atinge um desempenho bastante bom em termos de precisão de medição de qualidade, bem como de complexidade computacional.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copiar
Ha-Joong PARK, Ho-Youl JUNG, "Reduced-Reference Quality Assessment for JPEG-2000 Compressed Image" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 5, pp. 1287-1294, May 2008, doi: 10.1093/ietcom/e91-b.5.1287.
Abstract: Image quality assessment method is a methodology that measures the difference of quality between the reference image and its distorted one. In this paper, we propose a novel reduced-reference (RR) quality assessment method for JPEG-2000 compressed images, which exploits the statistical characteristics of context information extracted through partial entropy decoding or decoding. These statistical features obtained in the process of JPEG-2000 encoding are transmitted to the receiver as side information and used to estimate the quality of images transmitted over various noisy channels at the decompression side. In the framework of JPEG-2000, the context of a current coefficient is determined depending on the pattern of the significance and/or the sign of its neighbors in three bit-plane coding passes and four coding modes. As the context information represents the local property of images, it can efficiently describe textured pattern and edge orientation. The quality of transmitted images is measured by the difference of entropy of context information between received and original images. Moreover, the proposed quality assessment method can directly process the images in the JPEG-2000 compressed domain without full decompression. Therefore, our proposed can accelerate the work of assessing image quality. Through simulations, we demonstrate that our method achieves fairly good performance in terms of the quality measurement accuracy as well as the computational complexity.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.5.1287/_p
Copiar
@ARTICLE{e91-b_5_1287,
author={Ha-Joong PARK, Ho-Youl JUNG, },
journal={IEICE TRANSACTIONS on Communications},
title={Reduced-Reference Quality Assessment for JPEG-2000 Compressed Image},
year={2008},
volume={E91-B},
number={5},
pages={1287-1294},
abstract={Image quality assessment method is a methodology that measures the difference of quality between the reference image and its distorted one. In this paper, we propose a novel reduced-reference (RR) quality assessment method for JPEG-2000 compressed images, which exploits the statistical characteristics of context information extracted through partial entropy decoding or decoding. These statistical features obtained in the process of JPEG-2000 encoding are transmitted to the receiver as side information and used to estimate the quality of images transmitted over various noisy channels at the decompression side. In the framework of JPEG-2000, the context of a current coefficient is determined depending on the pattern of the significance and/or the sign of its neighbors in three bit-plane coding passes and four coding modes. As the context information represents the local property of images, it can efficiently describe textured pattern and edge orientation. The quality of transmitted images is measured by the difference of entropy of context information between received and original images. Moreover, the proposed quality assessment method can directly process the images in the JPEG-2000 compressed domain without full decompression. Therefore, our proposed can accelerate the work of assessing image quality. Through simulations, we demonstrate that our method achieves fairly good performance in terms of the quality measurement accuracy as well as the computational complexity.},
keywords={},
doi={10.1093/ietcom/e91-b.5.1287},
ISSN={1745-1345},
month={May},}
Copiar
TY - JOUR
TI - Reduced-Reference Quality Assessment for JPEG-2000 Compressed Image
T2 - IEICE TRANSACTIONS on Communications
SP - 1287
EP - 1294
AU - Ha-Joong PARK
AU - Ho-Youl JUNG
PY - 2008
DO - 10.1093/ietcom/e91-b.5.1287
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2008
AB - Image quality assessment method is a methodology that measures the difference of quality between the reference image and its distorted one. In this paper, we propose a novel reduced-reference (RR) quality assessment method for JPEG-2000 compressed images, which exploits the statistical characteristics of context information extracted through partial entropy decoding or decoding. These statistical features obtained in the process of JPEG-2000 encoding are transmitted to the receiver as side information and used to estimate the quality of images transmitted over various noisy channels at the decompression side. In the framework of JPEG-2000, the context of a current coefficient is determined depending on the pattern of the significance and/or the sign of its neighbors in three bit-plane coding passes and four coding modes. As the context information represents the local property of images, it can efficiently describe textured pattern and edge orientation. The quality of transmitted images is measured by the difference of entropy of context information between received and original images. Moreover, the proposed quality assessment method can directly process the images in the JPEG-2000 compressed domain without full decompression. Therefore, our proposed can accelerate the work of assessing image quality. Through simulations, we demonstrate that our method achieves fairly good performance in terms of the quality measurement accuracy as well as the computational complexity.
ER -