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，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.

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，保存重要局部视觉暗示并传统混淆象，如鬼影和问题。

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.

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

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术，保存了重要局部视觉暗示并避免了传统混淆象，如鬼影和光晕问题。

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.

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

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，保存了重要的局暗示并避免了传统的混淆象，如鬼影和光晕的问题。