The paper advocates for a dual approach to software documentation that amalgamates mathematical notation and flowcharts. This approach aims to enhance both accessibility and quality control. Mathematical notations allow for precise understanding, while flowcharts provide a comprehensive view of complex systems. These components collectively broaden the research's appeal to a multidisciplinary audience and impose a level of scrutiny that augments reliability. The framework further bolsters code maintainability and extendability, contending that rudimentary inline comments are inadequate for thorough documentation. An illustrative example using deconvolution is included.

This study evaluates the effectiveness of diverse focal metrics for generating depth maps from focal stacks in both Electro-Optical (EO) and Radio-Frequency (RF) domains. The paper also discusses the potential applicability of these methods to address a broader range of laboratory requirements. The techniques examined include Sobel Convolution, Laplacian Variance, the Tenengrad Method, the Histogram Method, Fourier Analysis, and Haar Wavelet Transforms. The inherent limitations of specific methods are highlighted through empirical data collected from various example datasets.