Lightweight Scrambled JPEG XS Coding for Privacy Protection
Takayuki Nakachi, Hiroyuki Kimiyama, Mitsuru Maruyama · 2022
In this paper, we propose lightweight scrambled JPEG XS coding for privacy protection. The proposed method operates as an Encryption-then-Compression (EtC) system. It enables the EtC scheme to be used while maintaining compatibility with JPEG XS. Input images are scrambled and fed to JPEG XS. Despite the scrambling, the rate-distortion performance is only slightly degraded. The proposed method provides almost the same rate-distortion performance as that of JPEG XS without scrambling. We demonstrate its performance via simulation for 8K ultra-high-definition images.