Evaluation of Image Corrected by Retinex Method Based on S-CIELAB and Gazing Information

• BAI Jie

  Graduate School of Science and Technology, Chiba University

• NAKAGUCHI Toshiya

  Graduate School of Science and Technology, Chiba University

• TSUMURA Norimichi

  Graduate School of Science and Technology, Chiba University

• MIYAKE Yoichi

  Research Center for Frontier Medical Engineering, Chiba University

抄録

The purpose of this research is to propose an effective color metric which can predict the perceptual image quality for Retinex method. In this paper, we first give a brief introduction of three kinds of typical single Retinex methods to improve the color reproduction. And then, we state the process for obtaining the observer rating value from the subjective evaluation experiment performed under the sRGB illumination condition. Next, we introduce the S-CIELAB metric and propose a new metric on the basis of S-CIELAB metric that considers the gazing information. The average S-CIELAB color differences with and without the consideration of gazing information were calculated as the objective image quality measures. The correlations between the observer rating values and the objective image quality measures were calculated. The result shows that all of the average S-CIELAB color differences based on the gazing information are better correlated to the observer rating value than the average S-CIELAB color difference over the whole area. The average S-CIELAB color difference weighted by the gazing frequency over the gazing area shows the strong correlation with the observer rating value.

収録刊行物

• IEICE transactions on fundamentals of electronics, communications and computer sciences

  IEICE transactions on fundamentals of electronics, communications and computer sciences 89 (11), 2955-2961, 2006-11-01

  一般社団法人電子情報通信学会

キーワード

• Retinex method
• S-CIELAB metric
• gazing frequency
• gazing area

詳細情報

• CRID: 1573668927358159104
• NII論文ID: 110007537777
• NII書誌ID: AA10826239
• ISSN: 09168508
• 本文言語コード: en
• データソース種別:
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