论文标题
基于对象显着性的渐进全息图生成
Progressive Hologram Generation Based on Object Saliency
论文作者
论文摘要
承诺将计算机生成的全息图（CGH）实现具有改变生活的应用的下一代3D视觉媒体。但是，这项技术的基本障碍之一是耗时的全息图计算。因此，促进生成全息图的计算在该领域至关重要。我们提出了使用离散小波变换基于对象显着性的进行性全息图生成。在我们的方法中，使用小波变换将对象分解为3级分辨率。然后，基于对象的显着性，生成了渐进的分辨率全息图。我们的模型为物体的非偏度区域和显着区域的高分辨率全息图生成了低分辨率全息图，从而减少了CGH的生成时间。我们将方法应用于许多对象，并表明显着零件以高质量重建，同时它有助于加快过程。最后，我们比较重建对象的SSIM。
Computer-generated hologram (CGH) is promised to realize the next generation of 3D visual media with life-changing applications. However, one of the essential obstacles to this technology is the time-consuming hologram computation. Thus, facilitating the computation of the generated hologram is of significant importance in this area. We propose a progressive hologram generation based on object saliency using discrete wavelet transform. In our method, the object is decomposed into 3 levels of resolution using wavelet transform. Then, based on the saliency of the object, a progressive resolution hologram is generated. Our model generates a low resolution hologram for non-salient areas of an object and a high-resolution hologram for salient areas, thus reducing CGH generation time. We applied our method to a number of objects and show that salient parts are reconstructed with high quality while it helps the process to speed up. Finally, we compare the SSIM of the reconstructed objects.
