For the degradation of image sequence due to noise, the temporal noise filter is designed during video image acquisition process.
在视频图像获取过程中，由于噪声对图像序列的降质，需要设计实时噪声滤波器。
Temporal noise is the important component of the dark noise of CMOS image Sensor. It not only will deteriorate the image quality, but also will restrain improving the dynamic range of the image.
暂态噪声是CMOS图像传感器暗光下噪声的重要组成部分，不但影响图像质量，而且限制图像动态范围的提高。
In distributed video coding (DVC) because the decoder cannot have access to the current frame, modeling the temporal correlation noise becomes a difficult task.
在分布式视频编码(DVC)中，由于解码端不能获取当前编码帧的信息，精确地对时域相关噪声进行建模变得更为困难。
The fMRI noise is classified into structured and unstructured noise by their temporal characteristics, and their impacts to efficiency of statistical tests are discussed separately.
该方法根据噪声时域特性将其分为结构性噪声和非结构性噪声两类，它们对统计检验功效造成的影响在文中分别进行了讨论。
At last, we elementarily examine the anti-noise ability and the temporal performance of the new arithmetic in the new system.
最后，在我们的系统中初步检测了新算法的时间和抗噪性能。
To improve the Signal-to-noise Ratio(SNR) and detecting probability of small target in infrared image sequences, a novel method of target detection based on spatial-temporal filtering is proposed.
为了提高红外图像序列中弱小目标的信噪比和检测概率，同时考虑检测算法实时性，提出了一种新的基于空时域滤波的小目标检测方法。
Compensating for temporal drift of fixed-pattern noise is an important problem in the techniques for nonuniformity correction of infrared focal plane arrays.
补偿固定噪声的时间漂移是红外焦平面非均匀校正技术中面临的一个重要问题。
According to the noise contained in many sensor data, an algorithm based on support degree and adaptive weighted spatial-temporal fusion of the multi-sensor is proposed.
针对多传感器测量数据中含有的噪声，提出一种基于多传感器支持度和自适应加权时空融合算法。
This paper also deals with the problem of temporal energy surge of noise component in narrow band influencing the tonality detection with post-smoothing.
同时本文还提出了一种平滑音调系数的插值后处理算法，该算法解决了瞬时突变噪声引起信号音调检测误判的问题。
The temporal domain characteristic of the infrared image and different features of small targets, noise and background were analyzed in this paper.
分析了红外小目标图像的时域特性以及小目标、噪声、背景的不同特点，提出了一种时空结合的红外小目标检测算法。
With the static low-light-level Anage sequence, temporal filtering is one of the best techniques in suppressing noise and improving signal-to-noise ratio.
对于静态微光图像序列，时域滤波技术是抑制噪声，提高信噪比最为有效的方法之一。
Temporal focus can depress the multipath effect and improve the signal noise rate (SNR) of the system.
时间聚焦可以提高通信系统的信噪比、克服复杂环境的多径衰落。
Temporal focus can depress the multipath effect and improve the signal noise rate (SNR) of the system.
时间聚焦可以提高通信系统的信噪比、克服复杂环境的多径衰落。
应用推荐