A comprehensive study of the impact of missing pixel patterns on restoration performance in missing pixel restoration models

This paper describes the restoration performance of neural network models for the 'missing pixel restoration method' used in lightweight compression codecs. In this method, pixels in video frames are selectively removed during transmission and restored using a neural network model. We evaluate the restoration performance based on 2×2-pixel missing patterns and various missing rates from 1/12 to 11/12. The results indicate a significant decline in restoration performance when the missing rate exceeds 6/12.