• This paper introduces the image block segmentation into the multi-focus image fusion, and USES wavelet spatial frequency as the multi-focus image clarity indicator.

    本文将图像块分割引入多聚焦图像融合中,以小波空间频率作为多聚焦图像的清晰度指标。

    youdao

  • In order to extend the spatial describing ability of ICA basis images, wavelet transform was combined with ICA, which make it be able to segment texture images with large textons.

    把小波变换和ICA算法相结合,扩展ICA纹理基元的空间尺度描述能力,使其能准确分割有较大纹理结构的纹理图像。

    youdao

  • The watermark was embedded in the wavelet domain using the mean quantization method. This method can be used to detect the distortion both in spatial and frequency domain.

    这种算法是采用了均值量化的方法,把数字水印嵌入图像的离散小波域,可以检测在空间域和频率域的图像失真。

    youdao

  • The homogeneity of the sheet is analyzed by image transform, i. e. the spatial domain image is transformed to frequency domain or wavelet domain to obtain the features.

    对于纸页的均匀性分析,通过图像变换,将空间域图像变换到频域或小波域进行分析,获取其特征;

    youdao

  • Wavelet transform demonstrates that abiotic factors' impact change with spatial scale, confirming a scale-dependent relationship between NDVI and factors that influence it.

    本文通过多尺度分解途径分析了NDVI与环境因子如地形与气候之间的空间尺度依存关系。

    youdao

  • They use entropy and spatial frequency to evaluate the fusion result of their method and perform a comparison with the Laplacian based and the wavelet based image fusion methods.

    最后利用熵和空间频率对该方法的融合性能进行了评估分析,并与基于拉普拉斯变换和小波变换的图像融合方法进行了比较。

    youdao

  • Experimental comparisons show that the method proposed is better than traditional IHS and wavelet transform fusion method in preserving spatial resolution and spectral component.

    实验结果表明该方法得到的融合图像优于传统的IHS变换法和传统小波变换方法。

    youdao

  • The multiresolution structure of wavelet is used to construct the image frequency components., which has better image fidelity preservation and robustness than spatial domain based techniques.

    本算法利用小波变换的多分辨率特性来进行图象的小波域分解,这样可以获得更好的图象保真度并且比在空域中的水印嵌入算法更稳健。

    youdao

  • The method is based on real 3d wavelet transform, and implements a three dimensional extension of SPIHT in still image coding by defining a new spatial-temporal orientation tree structure.

    该方法建立在真三维小波分解基础上,通过定义一种新的时空方向树结构,实现了静止图像SPIHT算法的三维扩展。

    youdao

  • By experience orthogonal function analysis and wavelet analysis on chilling damage indices, it showed spatial-temporal variation in the regulation and multiple-time-scale characteristics.

    在此基础上对低温冷害指数进行经验正交分解和小波分析,得到其时空变化规律及多时间尺度特征。

    youdao

  • Some research is processed as follow:In the area of video de-noising, we did our research on various intra-frame de-noising methods on spatial domain, frequency domain and wavelet domain.

    在视频降噪方面,从帧内与帧间两个角度对视频降噪方法进行了研究。

    youdao

  • Some research is processed as follow:In the area of video de-noising, we did our research on various intra-frame de-noising methods on spatial domain, frequency domain and wavelet domain.

    在视频降噪方面,从帧内与帧间两个角度对视频降噪方法进行了研究。

    youdao

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