Edge-based Error Concealment for Line Compression Methods
Hoyoung Kim, Seong-Won Lee · 2018
Recently, a lot of low complexity line compression methods were proposed for high resolution image transmission techniques. However, errors occurring on the transmission channel propagate through the line while decoding and often appear in consecutive multiple lines. In this paper, we propose a multi-line edge-based line average (ML-ELA) method that can improve the image quality of the image damaged by the consecutive multiple line errors of line compression techniques. Experimental results show that the proposed method improves both the PSNR and the subjective image quality of the degraded images due to channel errors.