Multie-scale joint bilateral image and video texture upsampling

We present a novel approach for upsampling the synthesized image and video texture using a multi-scale joint bilateral filter. Our method is based on the motivation: if the available exemplar texture is used as a prior to upsample the synthesized texture, a high resolution result that better preventing image blurring can be obtained. Our joint bilateral upsampling applies a spatial filter on the synthesized texture, and jointly applies a similar range filter on exemplar texture which guides the interpolation from low to high resolution. To further enhance the detail of the upsampled texture, we propose multi-scale joint bilateral upsampling method which progressively enhances the detail of the upsampled texture. In addition, we present a detail-aware texture optimization approach which combines texture optimization and histogram matching of the image detail to improve the quality of the synthesized results. Finally, we present an accelerated joint bilateral filter, which enables our upsampling process to interactively generate a large texture. We show results for upsampling image and video texture and compare them to traditional upsampling methods, which illustrate that our methods require low computational and memory costs while receive better results.