System using the most recent strategies [21] for the uniform SQ framework, asApproach with all

System using the most recent strategies [21] for the uniform SQ framework, as
Approach with all the most up-to-date methods [21] for the uniform SQ framework, as shown in Figure 9.Entropy 2021, 23,initial encode the image for the bit-rates as outlined by the optimized sampling rates and bitdepths, then calculate the PSNRs of the reconstructed image to acquire the rate-distortion curve. All bit-rates and PSNRs obtained by traversing distinct sampling rates and bitdepths are also shown in Figures 9 and 10. As far as we know, the optimization of sampling price and bit-depth in the CS-based coding technique is primarily focused on the uniform 18 of 21 SQ framework, so we compared the proposed approach together with the newest strategies [21] for the uniform SQ framework, as shown in Figure 9.PSNR (dB)(a)25(b)(c)(d)b=3 b=4 b=5 b=6 b=0 0.1 0.two 0.three 0.4 0.five 0.6 0.b=8 b=9 b = 10 [21] The proposed0.eight 0.9Bit-rate (bpp)(e)(f)(g)(h)Figure 9. Rate-distortion efficiency of your proposed algorithm for the SQ framework. Monarch; (b) Parrots; (c) (c) BarFigure 9. Rate-distortion overall performance of your proposed algorithm for the SQ framework. (a)(a) Monarch; (b) Parrots; Barbara; bara; (d) Boats; (e) Cameraman; (f) Foreman; (g) Home; (h) Lena. (d) Boats; (e) Cameraman; (f) Foreman; (g) Property; (h) Lena.Figure 9 shows the proposed algorithm’s rate-distortion curves from the eight test photos encoded by the CS-based coding method with uniform SQ. The rate-distortion curve in the proposed algorithm is extremely close for the optimal rate-distortion curve. The PSNRs in the proposed algorithm are slightly worse than the optimal PSNRs only at some bit-rates. When the bit-rate is 0.three bpp for Monarch, the predicted optimal bit-depth is five bit, though the actual optimal bit-depth is four bit. The PSNR of your proposed algorithm is 0.52 dB less than the optimal PSNR at bit-rate of 0.three bpp. When the bit-rate is 0.three and 0.eight bpp for JPH203 supplier Parrots, the predicted optimal bit-depth is four and 6, whilst the actual optimal bit-depth is five bit. The PSNRs of your proposed algorithm are about 0.25 and 0.three dB much less than the optimal PSNR at bit-rate of 0.3 and 0.8 bpp. When the bit-rate is 0.three and 0.9 bpp for Cameraman, the predicted optimal bit-depth is five and six, even though the actual optimal bit-depth is 4 and five. The PSNRs from the proposed algorithm are about 0.48 and 0.12 dB much less than the optimal PSNR at bit-rate of 0.three and 0.9 bpp. When the bit-rate is 0.four bpp for Foreman, the predicted optimal bit-depth is 5 bit, although the actual optimal bit-depth is six bit. The PSNR in the proposed algorithm is 0.41 dB much less than the optimal PSNR at bit-rate of 0.4 bpp. The optimal bit-depth model mostly causes these deviations, whereas the maximum deviation is 1 bit. The proposed algorithm’s rate-distortion curves are very close to the benefits of [21] on Barbara, Boats, Residence, Lena, and are far better than [21] on Monarch, Parrots, Cameraman, Foreman. It might be noticed from Figure 9a that the optimal bit-depth is 7 at the bit-rate of 0.7 bpp or 0.eight bpp, the proposed algorithm can accurately predict the optimal bit-depth. Having said that, the bit-depth predicted by [21] is six, that is 1 bit less than the optimal bitdepth. In Figure 9b, the optimal bit-depth is four at the bit-rate of 0.2 bbp, along with the optimal bit-depth is 5 in the bit-rate of 0.6 bpp and 0.7 bbp. Compared with [21], the predicted IL-4 Protein Epigenetics bit-depths on the proposed algorithm are additional correct. Some equivalent circumstances take place in Figure 9e,f.Entropy 2021, 23, 1354 Entropy 2021, 23,20 of 23 19 of(a)(b)(c)(d)(e)(f)(g)(h)Figure ten. Rate-distortion performance the proposed algorithm for the DPCM-plus-SQ fram.