Picture quality evaluation model for color coded images: Considering observing points and local feature of image

Y. Furusho*, K. Kotani, Y. Horita, Y. Kenmochi, V. R. Algazi

*この論文の責任著者

研究成果: 会議への寄与学会論文査読

3 被引用数 (Scopus)

抄録

This paper shows a picture quality evaluation model for JPEG coded color images. This methodology is obtained by a multi-variable analysis of picture distortion and it provides a numerical value of picture quality. The accuracy of the picture quality evaluation is dependent upon characteristics of the picture quality evaluation models. The error components e(x,y) are computed by subtracting color components (RGB, CIE L*a*b*, L*u*v*, etc.) of distorted compressed images from the original ones. The evaluation model is obtained by multi-variable analysis of distortion models. We then use regression methods to combine these picture quality evaluation models into a single number representative of the quality of a given image. We also evaluate the characteristics of picture quality evaluation models, because good picture quality evaluation models are indispensable to estimate the subjective mean opinion score (MOS) with a high accuracy. This model evaluates picture quality with high accuracy and estimates MOS well.

本文言語英語
ページ343-347
ページ数5
出版ステータス出版済み - 1999
イベントInternational Conference on Image Processing (ICIP'99) - Kobe, Jpn
継続期間: 1999/10/241999/10/28

学会

学会International Conference on Image Processing (ICIP'99)
CityKobe, Jpn
Period1999/10/241999/10/28

ASJC Scopus 主題領域

  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学

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