Towards exploiting change blindness for image processing

Le Moan Steven; Farup Ivar; Blahova Jana

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Towards exploiting change blindness for image processing

机译：致力于利用变化盲性进行图像处理

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摘要

Change blindness is a type of visual masking which affects our ability to notice changes introduced in visual stimuli (e.g. change in the colour or position of an object). In this paper, we propose to use it as a means to identify image attributes that are less important than others. We propose a model of visual awareness based on low-level saliency detection and image inpainting, which identifies textured regions within images that are the most prone to change blindness. Results from a user study demonstrate that our model can generate alternative versions of natural scenes which, while noticeably different, have the same visual quality as the original. We show an example of practical application in image compression.

机译：改变失明是一种视觉掩蔽，会影响我们注意到视觉刺激中引入的变化的能力（例如，对象的颜色或位置的变化）。在本文中，我们建议将其用作识别不如其他重要的图像属性的方法。我们提出了一种基于低级显着性检测和图像修复的视觉意识模型，该模型可以识别图像中最容易改变盲目性的纹理区域。一项用户研究的结果表明，我们的模型可以生成自然场景的替代版本，尽管明显不同，但其视觉质量与原始模型相同。我们展示了图像压缩中的实际应用示例。

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来源
《Journal of visual communication & image representation》 |2018年第7期|31-38|共8页
作者
Le Moan Steven; Farup Ivar; Blahova Jana;
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作者单位

NTNU Norwegian Univ Sci & Technol, Fac Comp Sci & Media Technol, Gjovik, Norway;

NTNU Norwegian Univ Sci & Technol, Fac Comp Sci & Media Technol, Gjovik, Norway;

NTNU Norwegian Univ Sci & Technol, Fac Comp Sci & Media Technol, Gjovik, Norway;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Perception; Visual awareness; Visual attention; Change blindness; Salience; Image quality;

机译：感知;视觉意识;视觉注意力;改变失明;显着性;图像质量;

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Towards exploiting change blindness for image processing

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