Sentence examples for values of the restored from inspiring English sources

The residual errors are calculated as the differences between the estimated latitude values of the restored trajectory functions and the real latitude values of the GPS data.

Hence, it is natural to require all pixel values of the restored image to lie in a certain interval [a,b], see [32] for more details.

Note that the MAE values of the restored speech signals under 5 different random sampling patterns lie between and after convergence.

As shown in Figure 12, the PSNR values of the restored images achieved by the proposed SFABD scheme are comparable or higher than the other diffusion algorithms, and the SSIM values of SFABD are significantly higher.

In the case (really very common) of significantly deteriorate urban areas, such projects can be developed if it's possible to overcome a minimum "critical" dimension, in order to register a real estate enhancement that offers values of the restored buildings greater than the project's cost.

For 8-bit images, PSNR and MAE are defined as follows: PSNR = 1 0 ⋅ log 1 0 2 5 5 2 1 M N ∑ i = 0 M - 1 ∑ j = 0 N - 1 I ( i, j ) - Î ( i, j ) 2, MAE = 1 M N ∑ i = 0 M - 1 ∑ j = 0 N - 1 I ( i, j ) - Î ( i, j ), where Î i,j) and I i,j) denote the pixel values of the restored image and the original image, respectively, at location (i,j) and M × N is the size of the image.

The current combined value of the restored pianos is hard to estimate: it's like setting a price on antiques.

For brevity, for Tables 7 and 8 we shall denote by 1. % i n c r e a s e−↑, and % d e c r e a s e−↓ Table 7 PSNR value of the restored image "Lena" with optimal values of c and λ is 26.01.

(0.21)↑ stands for 0.21% increase in PSNR  . % i n c r e a s e−↑, and % d e c r e a s e−↓ Table 7 PSNR value of the restored image "Lena" with optimal values of c and λ is 26.01.

On the other side, the profits of the upgrading projects (the real-estate value of the restored buildings) vary with both the dimension of the single project and the broader extent of the whole upgraded neighbourhood (the "propinquity effect" works both in the degrading and in the upgrading phenomena).

Parameter sensitivity analysis for our proposed method M3 by percentage increased in values of the parameters c and λ, with the resultant percentage increase or decrease in PSNR of the denoised image of size (4002) Image 30%60%%   c λ PSNR c λ PSNR Lena 2.20 20.15 2.26 2.71 24.80 3.93 Table 8 PSNR value of the restored image "Lena" with optimal values of c and λ is 26.01.