  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.
