Fig. 1. Diagram of RGB triangle arrangement structure

Fig. 2. Overall framework of the algorithm in this paper

Fig. 3. Schematic diagram of image extension

Fig. 4. Schematic diagram of red subpixel expansion

Fig. 5. DIV2K dataset. （a） 48 images from the original dataset； （b） 16 images plus Gaussian noise.

Fig. 6. Single-linewidth black background white line ren-dering. （a） Original drawing； （b） Rendering effect of the unadvised averaging algorithm； （c） Ren‍⁃dering effect of the adaptive weighting algorithm.

Fig. 7. Rendering of the English letters. （a） Rendering effect of the unadvised average algorithm； （b） Rendering effect of the adaptive weight algorithm.

Fig. 8. Comparison of MSE between the two algorithms

Fig. 9. Comparison of PSNR between the two algorithms

Fig. 10. Comparison of SSIM between the two algorithms

Fig. 11. Comparison of FSIM_c between the two algorithms

Fig. 12. Comparison of VIF between the two algorithms

Fig. 13. Comparison of the denoising effects of the two algorithms. （a） Original images； （b） Images of salt and pepper noise； （c） Denoising effect of the unweighted average rendering algorithm； （d） Denoising effect of the adaptive weight rendering algorithm.