For low gray image, the float gray level codes are combined to the binary coded gray levels by the error diffusion method.
然后利用误差扩散方法将浮动灰度编码所包含的低灰度级图像信息融合到用于显示的子场编码中。
An improving noise eliminated difference template based on the analysis of object and background gray value also has been developed to eliminate the low frequency noise in image.
对图像中的低频噪声，基于对图像中目标与背景灰度值特点的分析，提出了改进的差分去噪声模板。
This paper introduces a new method of low contrast gray image enhancement based on PCNN after studying the operation elements and action mechanism of PCNN.
通过对PCNN工作原理和行为机制的深刻剖析，本文提出基于PCNN的低对比度的灰度图像增强算法。
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