## 5 Results of Tests and Analyses
### Proposed Methods of Line Length Estimation of the Reconstructed Image
The measures proposed by the authors are based on the calculation of the minimum and maximum values of the pixel amplitudes of the image in its individual vertical lines. Then the obtained values are subject to:  
* method I--summing up the differences between the maximum and minimum values for the adopted horizontal line length of the image (image width);
* method II--calculating the difference between the maximum and minimum value of the sum of the pixel amplitudes numerous for individual vertical lines of the image for the assumed length of the horizontal line of the image (image width);
* method III--summing up the maximum values of pixel amplitudes determined for individual vertical lines of the image for the assumed length of the horizontal line of the image (image width). Appropriate criteria have been adopted for the above-described methods, allowing to indicate, for a given accuracy \(\Delta\), the estimated value \(d_{\Delta}\) of the image horizontal line length. These criteria are the minimum values determined according to the dependence (15) and (25) (method I and III, respectively) and the maximum value determined according to the Formula (20) (method II). The obtained results of the analysis of determining the length \(d_{\Delta}\) of the horizontal line of the reconstructed images confirm the correctness of the methods regardless of the structure of the reconstructed image and the source of unwanted emissions. There are slight differences in the value of the parameter \(d_{\Delta}\) on the order of 0.00003 determined by methods I and III and method II (Table 20). However, it does not affect the readability of the data contained in the reconstructed image even with \(Sum_{MTL}=60\). An additionally observed phenomenon is also the difference in estimating the \(d_{\Delta}\) values for smaller accuracies \(\Delta\) (e.g., for \(\Delta=0.001\), \(d_{\Delta}=1953.64800\) and \(d_{\Delta}=1953.64900\), Table 10). However, this is not a mistake of the proposed methods. This is due to the fact that the \(d_{\Delta}\) parameter for the increased accuracy \(\Delta\) reaches the value 1953.64860, which is close to the middle of the range defined by the previously estimated \(d_{\Delta}\) values. The upper limit of accuracy for estimating the \(d_{\Delta}\) value of the horizontal line length of the reconstructed image was adopted for \(\Delta=0.00001\). The experiments conducted earlier by the authors show that for such accuracy of the horizontal line length of the image, even a 100-fold coherent summation of images gives satisfactory results. Nevertheless, the proposed methods and criteria need not be limited to \(1.0\leq\Delta\leq 0.00001\). Further work in this area will focus on the software implementation of the algorithms of the proposed methods, allowing for the automation of the process of determining the length d of the horizontal line of the reconstructed image. Another area of further research will be determining the correct number of horizontal lines in an image. Also, in this case, too few or too many lines make the image coherent summation not effective in improving the image quality and thus in improving the \(SNR\) value. **Author Contributions:** Conceptualization, I.K. and A.P. ; methodology, I.K. and A.P. ; software, I.K. ; validation, I.K. ; formal analysis, I.K. and A.P. ; investigation, I.K. ; resources, I.K. and A.P. ; writing--original draft preparation, I.K. ; writing--review and editing, I.K. and A.P. ; visualization, I.K. ; supervision, A.P. ; project administration, I.K. All authors have read and agreed to the published version of the manuscript. **Funding:** This research received no external funding. **Institutional Review Board Statement:** Not applicable. **Informed Consent Statement:** Not applicable. **Data Availability Statement:** Not applicable. **Conflicts of Interest:** The authors declare no conflict of interest.