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
이미지 품질 평가 방법은 참조 이미지와 왜곡된 이미지 간의 품질 차이를 측정하는 방법론입니다. 본 논문에서는 부분 엔트로피 디코딩 또는 디코딩을 통해 추출된 컨텍스트 정보의 통계적 특성을 활용하는 JPEG-2000 압축 이미지에 대한 새로운 축소 참조(RR) 품질 평가 방법을 제안합니다. JPEG-2000 인코딩 과정에서 얻은 이러한 통계적 특징은 부가 정보로 수신기에 전송되며 압축 해제 측에서 다양한 노이즈 채널을 통해 전송되는 이미지의 품질을 추정하는 데 사용됩니다. JPEG-2000의 프레임워크에서 현재 계수의 컨텍스트는 2000개의 비트 평면 코딩 패스와 XNUMX개의 코딩 모드에서 유의성 패턴 및/또는 이웃의 부호에 따라 결정됩니다. 컨텍스트 정보는 이미지의 로컬 속성을 나타내므로 텍스처 패턴 및 가장자리 방향을 효율적으로 설명할 수 있습니다. 전송된 이미지의 품질은 수신된 이미지와 원본 이미지 간의 컨텍스트 정보의 엔트로피 차이로 측정됩니다. 또한 제안된 품질 평가 방법은 JPEG-XNUMX 압축 도메인의 이미지를 완전 압축 해제 없이 직접 처리할 수 있다. 따라서 우리가 제안한 방법은 이미지 품질 평가 작업을 가속화할 수 있습니다. 시뮬레이션을 통해 우리는 우리 방법이 품질 측정 정확도와 계산 복잡성 측면에서 상당히 좋은 성능을 달성한다는 것을 보여줍니다.
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부
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
부
@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},}
부
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 -