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A METHOD, AN APPARATUS AND A COMPUTER-READABLE MEDIUM FOR PROCESSING A NIGHT VISION IMAGE DATASET

机译:用于处理夜视图像数据集的方法,装置和计算机可读介质

摘要

A kind of method of quality for strengthens view data collection is disclosed, for example, reducing the noise that noisy image data is concentrated and increasing the contrast of image data concentration. This method can be used for handling the sequence of image data set, such as. Night vision image data set, wherein the sequence includes at least two image data sets, and each image data set has at least two pixels, and wherein each pixel has intensity value. This method includes the structure tensor for calculating each pixel that the image data for including is concentrated in image data set sequence; Structure tensor based on each pixel in described image data set calculates the value in summation core; It calculates in the first image data set, the value in the summation core is used as weight; Using the weighed intensities value of each pixel in described image data set as treated output image data concentrate each respective pixel processing intensity value; The rotation local coordinate system that wherein summation core is DESCR; The result shows that the reference axis of local coordinate system is consistent with direction coordinate. About the feature vector of the structure tensor, wherein described eigenvector describes in the global coordinate system of image data set, and scales the reference axis for the local coordinate system that wherein summation core is described by amount relevant to the characteristic value of structure. Pass through Width Function W(α i) the CcIn tensors of=Sigi i, wherein the characteristic value depends on the Strength Changes amount on their corresponding feature vector directions, and the Width Function is to reduce function, so that w (0)=max and lima ∞ w=min.
机译:公开了一种用于增强视图数据收集的质量方法,例如,减少嘈杂的图像数据集中的噪声并增加图像数据集中的对比度。该方法可用于处理诸如图像数据集的序列。夜视图像数据集,其中该序列包括至少两个图像数据集,并且每个图像数据集具有至少两个像素,并且其中每个像素具有强度值。该方法包括用于计算要包括的图像数据集中在图像数据集序列中的每个像素的结构张量;基于所描述图像数据集中每个像素的结构张量计算求和核心中的值;它在第一个图像数据集中计算,将求和核中的值用作权重;使用所描述的图像数据集中的每个像素的加权强度值作为处理后的输出图像数据,集中每个像素的处理强度值;其中求和核心为DESCR的旋转局部坐标系;结果表明,局部坐标系的参考轴与方向坐标一致。关于结构张量的特征向量,其中所描述的特征向量在图像数据集的全局坐标系中进行描述,并且对局部坐标系的参考轴进行缩放,在该坐标系中,求和核心由与结构的特征值相关的量来描述。传递宽度函数W(αi)= Sigi i的CcIn张量,其中特征值取决于强度变化量在它们相应的特征向量方向上的作用,宽度函数是归约函数,因此w(0)= max和lima∞w = min。

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