基于等密度映射和纹理重构的分层图像变换

图像变换包括图像映射和图像重构两个重要部分,而现有重构方法存在计算量较大、容易产生视觉误差等问题,并不能真正快速有效地实现图像变换。本文通过建立等密度映射的方式将重构转化为一个可以依赖纹理硬件快速完成的纹理映射过程,从而改进了传统的图像变换模型,并在此模型基础上设计了一种分层图像变换的方法。分层图像变换,首先将参考像素以相近的分辨率映射到对应的密度层以避免形成大量空洞,然后通过背景层设置、密度层合并等操作将对应的目的像素存储在一个可控长度的双向链表上,最后从后向前遍历链表逐层生成和合成纹理得到目的图像。实验结果表明,分层图像变换在有效避免视觉误差的基础上,大大提高了计算效率。

Layered Image Warping Based on Equal-density Mapping and Texture-reconstruction

Image mapping and image reconstruction are two major components in performing Image warping.Existing reconstruction methods either involve huge computations or tend to produce visual errors in objects appearance using traditional warping model.This article presents a new image warping model by employing a novel "equal-density mapping" and "texture-Reconstruction".With the new model,a layered image mapping(LIW) approach is proposed then.In LIW,reference pixels are firstly mapped to "equal density layers" that parallel the desired view and are stored in a bidirectional link list after some by-layer processing.By implementing post-texture rendering along the list eventually,the warping is transformed to a fast texture mapping process,which provides a considerable speedup.Also,LIW is proved to efficiently tickle the "rubber sheet" problem without any pre-process.