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As the base theory of the dissertation some basic knowledge of image compression is introduced, including how to acquire interference pattern and its charecters of both space correlation and spectral correlation.

作为论文的理论基础,论文简单的介绍图像压缩的基本理论和干涉图像获取的方法,并分析了干涉图像的特征。

This research presents an advanced vector intermediate value filter method in the enhancement of a color image to accelerate the operation speed and improve the image quality. The algorithm has practical value.

本研究提出一种改进的矢量中值滤波的彩色图像增强方法,该方法既可以提高其图像处理的运算速度,又能保证图像质量,其算法具有实用价值。

The high resolution image of full hole can be obtained from the being processed imaging logging information, and the morphological features about intersecting lines of fracture face and borehole present monocyclic sine curve.

成像测井数据经处理后可得到全井壁高分辨率的图像,而裂缝面与井筒的交线在图像上的形态特征呈现为单周期的正弦曲线,应用哈夫变换的点-线对偶性拾取图像中的裂缝角度等信息,可得到较好的处理结果。

In the matching stage, the angle of feature vectors is used as the similarity measure in the high dimensional space directly. This similarity measure is invariant to the linear transformation of feature vectors. Compared with SIFT and normalized correlation, the proposed method needs no primary features such as edges, corners, gradient or shapes which are very unstable in low contrast and low NSR images.

在匹配过程中,以向量之间夹角的大小作为相似度度量,直接利用图像的灰度信息在高维向量空间中考虑图像之间的相似度,克服了在低照度、低信噪比的图像中求边缘、角点、梯度和形状等特征的困难,不受向量模大小以及向量平移的影响,即相似度的计算是线性光照不变的。

Traditional inverse compositional image alignment algorithm compares intensity values between a template image and an input image.

传统的反向合成图像对齐算法比较的是模板图像与输入图像之间的像素值。

The ill-posed inverse problem of image restoration is studied.

针对图像复原的病态反问题进行研究,分析了图像复原的数学模型及其病态性,提出了组合傅里叶变换与曲波变换的图像复原算法。

The image is fuzzy because the image in real terms by an average of the operation or integration, for its inverse operation, and allow image became clear.

图像模糊的实质是因为图像受到平均或积分的运算,为此对其进行逆运算,就可以使图像变得清晰。

The image is fuzzy because the image is in real terms by an average of the operation or integration, for its inverse operation, and allow image becomeing clear.

图像模糊的实质是因为图像受到平均或积分的运算,为此对其进行逆运算,就可以使图像变得清晰。

Because Wavelet Transform has the characteristic of multi-resolution or multi-scale, we can divide images into a series of frequency space by wavelet decomposition, and then process the image information in some fusion rule in every frequency space. We can get the fusion image through inverse wavelet transform in the end.

由于小波变换具有多分辨或多尺度特性,因此我们可以通过小波变换把多幅图像分解到一系列的频率空间,然后在每个空间按照一定的融合规则算法对图像的信息进行处理,最后把处理后的信息通过小波逆变换得到融合图像

This paper puts forward an image super-resolution enhancement algorithm based on wavelet transform. This algorithm makes full use of the wavelet multi-resolution transform, and embodies the natural process of decrease of image resolution; it estimates the high resolution wavelet coefficient and gets the reconstructed high resolution image by interpolation inverse transformation.

文章在研究和分析小波变换理论的基础上提出了一种基于小波变换的图像超分辨率增强算法,该算法充分利用小波多分辨率分解思想,体现图像分辨率降低的自然过程;通过估计高分辨率小波系数,经插值逆变换可得到重构的高分辨率图像

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