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The quality assessment of light field images presents new challenges toconventional compression methods, as the spatial quality is affected by theoptical distortion of capturing devices, and the angular consistency affectsthe performance of dynamic rendering applications. In this paper, we propose atwo-pass encoding system for pseudo-temporal sequence based light field imagecompression with a novel frame level bit allocation framework that optimizesspatial quality and angular consistency simultaneously. Frame levelrate-distortion models are estimated during the first pass, and the second passperforms the actual encoding with optimized bit allocations given by a two-stepconvex programming. The proposed framework supports various encoderconfigurations. Experimental results show that comparing to the anchor HM 16.16(HEVC reference software), the proposed two-pass encoding system on averageachieves 11.2% to 11.9% BD-rate reductions for the all-intra configuration,15.8% to 32.7% BD-rate reductions for the random-access configuration, and12.1% to 15.7% BD-rate reductions for the low-delay configuration. Theresulting bit errors are limited, and the total time cost is less than twice ofthe one-pass anchor. Comparing with our earlier low-delay configuration basedmethod, the proposed system improves BD-rate reduction by 3.1% to 8.3%, reducesthe bit errors by more than 60%, and achieves more than 12x speed up.

Two-pass Light Field Image Compression for Spatial Quality and Angular Consistency