Quality Evaluation of Decimated Images Using Visual Difference Predictor

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概要

• 論文の詳細を見る

• This paper proposes a method for evaluating visual differences caused by decimation. In many applications it is important to evaluate visual differences of two different images. There exist many image assessment methods that utilize the model of the human visual system (HVS), such as the visual difference predictor (VDP) and the Sarnoff visual discrimination model. In this paper, we extend and elaborate on the conventional image assessment method for the purpose of evaluating the visual difference caused by the image decimation. Our method matches actual human evaluation more and requires less computational complexity than the conventional method.

• The Institute of Electronics, Information and Communication Engineersの論文

著者

• Okuda Masahiro

  University Hospital Pharmacy Mie University Graduate School Of Medicine

• JINNO Takao

  Toyohashi University of Technology

• MATSUOKA Ryo

  University of Kitakyushu

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• Quality Evaluation of Decimated Images Using Visual Difference Predictor

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