Image quality improvement for Fukushima Daiichi remote operations using denoising prior to super resolution

Tanifuji, Yuta ; Imabuchi, Takashi  ; Kawabata, Kuniaki   

In decommissioning work at the Fukushima Daiichi Nuclear Power Station (1F), operators must rely on robot camera images degraded by turbidity, floating matter, lens contamination, and radiation induced noise, with no clean reference images available. This study investigates a lightweight restoration pipeline combining Noise2Noise (N2N) denoising and FSRCNN super resolution, and shows that the N2NFSRCNN configuration most consistently improves visibility while suppressing noise and artificial textures, according to NIQE and PIQE scores and subjective evaluation.