Adaptive depth boundary sharpening for effective view synthesis

This paper focuses on sharpening boundaries in depth maps for multi-view video coding. Artifacts around boundaries degrade the quality of synthesized images. In order to encounter this problem, after applying the deblocking filter for each frame, we create a binary edge map and find the location of blocks that need to be altered. Subsequently, we apply a boundary sharpening filter which uses pixel frequency, similarity, and closeness as sub-costs. This filter is only applied to blocks which are near edges. Experimental results exhibit much more visual comfort level in synthesized images compared to when JMVC was used.