MASKING IN VISUAL RECOGNITION - EFFECTS OF 2-DIMENSIONAL FILTERED NOISE
MASKING IN VISUAL RECOGNITION - EFFECTS OF 2-DIMENSIONAL FILTERED NOISE
复制标题
DOI：
10.1126/science.180.4091.1194
复制
发表时间：
1973-01-01
期刊：
影响因子：
56.9
通讯作者：
JULESZ, B
中科院分区：
文献类型：
--
作者：
HARMON, LD;JULESZ, B
很难识别已经被粗采样和量化的肖像。模糊这些图像可以提高识别率。一个简单、直接的解释是，必须通过低通滤波去除采样和量化引入的高频噪声，以提高信噪比，从而提高信号的可检测性或识别性。这里报告的实验，建议的基础上，一个不同的模型，而不是表明，噪声带的光谱上相邻的图片的频谱是相当有效的抑制识别。
It is difficult to recognize portraits that have been coarsely sampled and quantized. Blurring such images improves recognition. A simple, straightforward explanation is that high-frequency noise introduced by the sampling and quantizing must be removed by low-pass filtering to improve the signal-to-noise ratio and hence signal detectability or recognition. Experiments reported here, suggested on the basis of a different model, show instead that noise bands that are spectrally adjacent to the picture's spectrum are considerably more effective in suppressing recognition.