  Moire patterns frequently appear when capturing screens with smartphones or
cameras, potentially compromising image quality. Previous studies suggest that
moire pattern elimination in the RAW domain offers greater effectiveness
compared to demoireing in the sRGB domain. Nevertheless, relying solely on RAW
data for image demoireing is insufficient in mitigating the color cast due to
the absence of essential information required for the color correction by the
image signal processor (ISP). In this paper, we propose to jointly utilize both
RAW and sRGB data for image demoireing (RRID), which are readily accessible in
modern smartphones and DSLR cameras. We develop Skip-Connection-based
Demoireing Module (SCDM) with Gated Feedback Module (GFM) and Frequency
Selection Module (FSM) embedded in skip-connections for the efficient and
effective demoireing of RAW and sRGB features, respectively. Subsequently, we
design a RGB Guided ISP (RGISP) to learn a device-dependent ISP, assisting the
process of color recovery. Extensive experiments demonstrate that our RRID
outperforms state-of-the-art approaches, in terms of the performance in moire
pattern removal and color cast correction by 0.62dB in PSNR and 0.003 in SSIM.
