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.

我们的方法是于梯度域方法的技术，保存了重要的局视觉暗示并避免了传统的混淆象，如鬼影和光晕的问题。

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域方法技术，保存了重要局部视觉暗示并避免了传淆象，和光晕问题。

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域方法的技术，保存了重要的局部视觉暗示并避免了传统的混淆象，如鬼影和光晕的问题。

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域方法技术，保存了重要局部视觉暗免了传统混淆象，如鬼影和光晕。

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域方法的技术，保存重要的局部视觉暗示并避免的混淆象，如鬼晕的问题。

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域方法的技术，保存了重要的局部视觉暗示并避免了传统的混淆象，如鬼影和光晕的问题。

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域方法的技术，保存重要的局部视觉暗示并避统的混淆象，如鬼影的问题。

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.

我们的法一种基于梯度域法的技术，保存了重要的局部视觉暗示并避免了传统的混淆象，如鬼影和光晕的问题。

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域方法的技术，保存了重要的局部视觉暗示并避免了传统的混淆象，如鬼影和光晕的问题。