It is calculated as half of the value of the sampling rate.Passing this level causes aliasing distortion, or foldover.

它的计算方法是将采样率除以二，超这个数值将会导致折叠失真，或称折叠。

Our approach is based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing.

我们的方法是一种基于梯度方法的技术，保存了重要的局部视觉暗示并避免了传统的混淆现象，如鬼影和光晕的问题。

It is calculated as half of the value of the sampling rate.Passing this level causes aliasing distortion, or foldover.

它计算方法是将采以二，超过这个数值将会导致折叠失真，或称折叠。

Our approach is based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing.

我们方法是一种基于梯度方法技术，保存了重要局部视觉暗示并避免了传统混淆现象，如鬼影和问题。

It is calculated as half of the value of the sampling rate.Passing this level causes aliasing distortion, or foldover.

它的计算方法是将采样率除以二，超过这个数值将会导致折叠失，折叠。

Our approach is based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing.

我们的方法是一种基于梯度方法的技术，保存了重要的局部视并避免了传统的混淆现象，如鬼影和光晕的问题。

It is calculated as half of the value of the sampling rate.Passing this level causes aliasing distortion, or foldover.

它的计算方法将采样率除以二，超过这个数值将会导致折叠失真，或称折叠。

Our approach is based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing.

我们的方法种基于梯度方法的技术，重要的局部视觉暗示并避免传统的混淆现象，如鬼影和光晕的问题。

It is calculated as half of the value of the sampling rate.Passing this level causes aliasing distortion, or foldover.

它的计算方法是将采样率除以二，超过这个数值将会导致折叠失真，或称折叠。

Our approach is based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing.

我们的方法是一种基于梯度方法的技术，保存了重要的局部视觉暗示并避免了传统的混淆现象，如鬼影和光晕的问题。

It is calculated as half of the value of the sampling rate.Passing this level causes aliasing distortion, or foldover.

它的计算方法是将采样率除以二，超过值将会导致折叠失真，或称折叠。

Our approach is based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing.

我们的方法是一种基于梯度方法的技术，保存了重要的局部视觉暗示并避免了传统的混，如鬼影和光晕的问题。

It is calculated as half of the value of the sampling rate.Passing this level causes aliasing distortion, or foldover.

它的计算方法是将采样率除以二，超过这个数值将会导致折叠失真，或称折叠。

Our approach is based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing.

我们的方法是一种基于梯度方法的技术，保存了重要的局部视觉暗示并避免了传统的混淆现，如鬼影和光晕的问题。

It is calculated as half of the value of the sampling rate.Passing this level causes aliasing distortion, or foldover.

它的计算方法是将采样率除以二，超数值将会导致折叠失真，或称折叠。

Our approach is based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing.

我们的方法是一种基于梯度方法的技术，保存了重要的局部视觉暗示并避免了传统的混淆，鬼影和光晕的问题。

It is calculated as half of the value of the sampling rate.Passing this level causes aliasing distortion, or foldover.

算方法是将采样率除以二，超过这个数值将会导致折叠失真，或称折叠。

Our approach is based on a gradient domain technique that preserves important local perceptual cues while avoiding traditional problems such as aliasing, ghosting and haloing.

我们方法是一种基于梯度方法技术，保存了重要局部视觉暗示并避免了传统混淆现象，如鬼影和光晕问题。