  Light field technology represents a viable path for providing a high-quality
VR content. However, such an imaging system generates a high amount of data
leading to an urgent need for LF image compression solution. In this paper, we
propose an efficient LF image coding scheme based on view synthesis. Instead of
transmitting all the LF views, only some of them are coded and transmitted,
while the remaining views are dropped. The transmitted views are coded using
Versatile Video Coding (VVC) and used as reference views to synthesize the
missing views at decoder side. The dropped views are generated using the
efficient dual discriminator GAN model. The selection of reference/dropped
views is performed using a rate distortion optimization based on the VVC
temporal scalability. Experimental results show that the proposed method
provides high coding performance and overcomes the state-of-the-art LF image
compression solutions.
