Content-based power allocation for perception-friendly SoftCast
Shaoshuai Gao, Mengyu Jiao, Shouxin Zong · 2019
Gradient based image SoftCast (G-Cast) reconstructs the image by transmitting gradients and uses structural similarity (SSIM) as the image quality assessment standard. The reconstructed image is more consistent with the perception of human vision system, however, it is a little too smoothed. In order to overcome this disadvantage, a perception-friendly SoftCast scheme using content-based power allocation is put forward in this paper. Firstly, an image block classification algorithm is applied to divide the image into edge blocks, detail blocks and smooth blocks. Secondly, gradients in different blocks are allocated to different power factors according to their importance. As a result, the scheme improves the subjective quality of reconstructed images significantly. At the same time, the objective quality of the scheme is also improved.