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Unresolvable Pixels Contribute to Character Legibility: Another Reason Why High-Resolution Images Appear Clearer

机译:未解析的像素有助于字符易读性:高分辨率图像显得更清晰的另一个原因

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This study examined the effect of character sample density on legibility. As the spatial frequency component important for character recognition is said to be 1 to 3 cycles/letter (cpl), six dots in each direction should be sufficient to represent a character; however, some studies have reported that high-density characters are more legible. Considering that these seemingly contradictory findings could be compatible, we analyzed the frequency component of the character stimulus with adjusted sample density and found that the component content of 1 to 3 cpl increased in the high-density character. In the following three psychophysical experiments, high sample density characters tended to have lower contrast thresholds, both for normal and low vision. Furthermore, the contrast threshold with characters of each sample density was predicted from the amplitude of the 1 to 3 cpl component. Thus, while increasing the sample density improves legibility, adding a high frequency is not important in itself. The findings suggest that enhancing the frequency components important for recognizing characters by adding the high-frequency component contributes to making characters more legible.
机译:本研究检测了性质样本密度对易读性的影响。随着空间频率分量对于字符识别所重要的,据说是1到3个循环/字母(CPL),每个方向的六个点应该足以表示一个字符;然而,一些研究报告称,高密度字符更清晰。考虑到这些看似矛盾的结果可能是兼容的,我们分析了调整后的样品密度的特征刺激的频率分量,发现1至3个CPL的组分含量在高密度特征上增加。在以下三个心理物理实验中,高样本密度字符倾向于具有较低的对比度阈值,用于正常和低视觉。此外,从1至3个CPL组分的幅度预测具有每个样品密度的特征的对比度阈值。因此,在增加样本密度的同时提高了易读性,并且在其自身上添加了高频并不重要。调查结果表明,通过添加高频分量增强对识别字符的频率分量有助于使字符更清晰。

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