Feng Shao

TL;DR: Experimental results show that compared with the relevant existing metrics, the proposed metric can achieve higher consistency with subjective assessment of stereoscopic images.

TL;DR: This work proposes a novel codebook-based BIQA method by optimizing multistage discriminative dictionaries (MSDDs), which has been evaluated on five databases and experimental results well confirm its superiority over existing relevant BIZA methods.

TL;DR: A unified no-reference quality evaluator for SDSIs and MDSIs by learning monocular and binocular local visual primitives (MB-LVPs) to characterize the local receptive field properties of the visual cortex in response to SDS is presented.

TL;DR: A novel asymmetric coding method of multi-view video plus depth (MVD) based 3-D video is proposed on purpose of providing high-quality view rendering and experimental results show that compared with other methods, the proposed method can obtain higher performance of view rendering under the total bitrate constraint.

TL;DR: A new full-reference quality assessment for stereoscopic images is proposed by learning binocular receptive field properties to be more in line with human visual perception by incorporating binocular combination based on sparse energy and sparse complexity.